Merge branch 'master' into 809-style-implement-new-side-bar-menus

* Update Ubuntu base image and improve Dockerfile

* Add unzip to Docker image dependencies

Needed for the arm64 build

* reset tabs

* formalized lint rules for hadolint. however the Docker formatting is being handled by MS Docker extension which doesn't indent code as expected. WIP.

* found a workaround to keep formatting

---------

Co-authored-by: timothycarambat <rambat1010@gmail.com>

.hadolint.yaml

@@ -0,0 +1,8 @@
+failure-threshold: warning
+ignored:
+  - DL3008
+  - DL3013
+format: tty
+trustedRegistries:
+  - docker.io
+  - gcr.io

.vscode/settings.json

@@ -4,16 +4,20 @@
     "Astra",
     "Dockerized",
     "Embeddable",
+    "GROQ",
     "hljs",
+    "inferencing",
     "Langchain",
     "Milvus",
     "Mintplex",
     "Ollama",
     "openai",
+    "openrouter",
     "Qdrant",
     "vectordbs",
     "Weaviate",
     "Zilliz"
   ],
-  "eslint.experimental.useFlatConfig": true
+  "eslint.experimental.useFlatConfig": true,
+  "docker.languageserver.formatter.ignoreMultilineInstructions": true
 }

README.md

@@ -82,6 +82,7 @@ Some cool features of AnythingLLM
 - [Azure OpenAI](https://azure.microsoft.com/en-us/products/ai-services/openai-service)
 - [LM Studio (all)](https://lmstudio.ai)
 - [LocalAi (all)](https://localai.io/)
+- [Ollama (all)](https://ollama.ai/)
 
 **Supported Vector Databases:**
 

collector/utils/files/index.js

@@ -1,28 +1,16 @@
 const fs = require("fs");
 const path = require("path");
-const { getType } = require("mime");
+const { MimeDetector } = require("./mime");
 
 function isTextType(filepath) {
-  if (!fs.existsSync(filepath)) return false;
-  // These are types of mime primary classes that for sure
-  // cannot also for forced into a text type.
-  const nonTextTypes = ["multipart", "image", "model", "audio", "video"];
-  // These are full-mimes we for sure cannot parse or interpret as text
-  // documents
-  const BAD_MIMES = [
-    "application/octet-stream",
-    "application/zip",
-    "application/pkcs8",
-    "application/vnd.microsoft.portable-executable",
-    "application/x-msdownload",
-  ];
-
   try {
-    const mime = getType(filepath);
-    if (BAD_MIMES.includes(mime)) return false;
+    if (!fs.existsSync(filepath)) return false;
+    const mimeLib = new MimeDetector();
+    const mime = mimeLib.getType(filepath);
+    if (mimeLib.badMimes.includes(mime)) return false;
 
     const type = mime.split("/")[0];
-    if (nonTextTypes.includes(type)) return false;
+    if (mimeLib.nonTextTypes.includes(type)) return false;
     return true;
   } catch {
     return false;

collector/utils/files/mime.js

@@ -0,0 +1,37 @@
+const MimeLib = require("mime");
+
+class MimeDetector {
+  nonTextTypes = ["multipart", "image", "model", "audio", "video"];
+  badMimes = [
+    "application/octet-stream",
+    "application/zip",
+    "application/pkcs8",
+    "application/vnd.microsoft.portable-executable",
+    "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", // XLSX are binaries and need to be handled explicitly.
+    "application/x-msdownload",
+  ];
+
+  constructor() {
+    this.lib = MimeLib;
+    this.setOverrides();
+  }
+
+  setOverrides() {
+    // the .ts extension maps to video/mp2t because of https://en.wikipedia.org/wiki/MPEG_transport_stream
+    // which has had this extension far before TS was invented. So need to force re-map this MIME map.
+    this.lib.define(
+      {
+        "text/plain": ["ts", "py", "opts", "lock", "jsonl"],
+      },
+      true
+    );
+  }
+
+  getType(filepath) {
+    return this.lib.getType(filepath);
+  }
+}
+
+module.exports = {
+  MimeDetector,
+};

docker/.env.example

@@ -61,6 +61,10 @@ GID='1000'
 # HUGGING_FACE_LLM_API_KEY=hf_xxxxxx
 # HUGGING_FACE_LLM_TOKEN_LIMIT=8000
 
+# LLM_PROVIDER='groq'
+# GROQ_API_KEY=gsk_abcxyz
+# GROQ_MODEL_PREF=llama2-70b-4096
+
 ###########################################
 ######## Embedding API SElECTION ##########
 ###########################################
@@ -79,6 +83,11 @@ GID='1000'
 # EMBEDDING_MODEL_PREF='text-embedding-ada-002'
 # EMBEDDING_MODEL_MAX_CHUNK_LENGTH=1000 # The max chunk size in chars a string to embed can be
 
+# EMBEDDING_ENGINE='ollama'
+# EMBEDDING_BASE_PATH='http://127.0.0.1:11434'
+# EMBEDDING_MODEL_PREF='nomic-embed-text:latest'
+# EMBEDDING_MODEL_MAX_CHUNK_LENGTH=8192
+
 ###########################################
 ######## Vector Database Selection ########
 ###########################################

docker/Dockerfile

@@ -1,12 +1,17 @@
 # Setup base image
-FROM ubuntu:jammy-20230522 AS base
+FROM ubuntu:jammy-20230916 AS base
 
+# Build arguments
 ARG ARG_UID=1000
 ARG ARG_GID=1000
 
 FROM base AS build-arm64
 RUN echo "Preparing build of AnythingLLM image for arm64 architecture"
 
+SHELL ["/bin/bash", "-o", "pipefail", "-c"]
+
+# Install system dependencies
+# hadolint ignore=DL3008,DL3013
 RUN DEBIAN_FRONTEND=noninteractive apt-get update && \
     DEBIAN_FRONTEND=noninteractive apt-get install -yq --no-install-recommends \
         unzip curl gnupg libgfortran5 libgbm1 tzdata netcat \
@@ -25,8 +30,8 @@ RUN DEBIAN_FRONTEND=noninteractive apt-get update && \
         && rm yarn_1.22.19_all.deb
 
 # Create a group and user with specific UID and GID
-RUN groupadd -g $ARG_GID anythingllm && \
-    useradd -u $ARG_UID -m -d /app -s /bin/bash -g anythingllm anythingllm && \
+RUN groupadd -g "$ARG_GID" anythingllm && \
+    useradd -l -u "$ARG_UID" -m -d /app -s /bin/bash -g anythingllm anythingllm && \
     mkdir -p /app/frontend/ /app/server/ /app/collector/ && chown -R anythingllm:anythingllm /app
 
 # Copy docker helper scripts
@@ -61,6 +66,10 @@ RUN echo "Done running arm64 specific installtion steps"
 FROM base AS build-amd64
 RUN echo "Preparing build of AnythingLLM image for non-ARM architecture"
 
+SHELL ["/bin/bash", "-o", "pipefail", "-c"]
+
+# Install system dependencies
+# hadolint ignore=DL3008,DL3013
 RUN DEBIAN_FRONTEND=noninteractive apt-get update && \
     DEBIAN_FRONTEND=noninteractive apt-get install -yq --no-install-recommends \
         curl gnupg libgfortran5 libgbm1 tzdata netcat \
@@ -79,8 +88,8 @@ RUN DEBIAN_FRONTEND=noninteractive apt-get update && \
         && rm yarn_1.22.19_all.deb
 
 # Create a group and user with specific UID and GID
-RUN groupadd -g $ARG_GID anythingllm && \
-    useradd -u $ARG_UID -m -d /app -s /bin/bash -g anythingllm anythingllm && \
+RUN groupadd -g "$ARG_GID" anythingllm && \
+    useradd -l -u "$ARG_UID" -m -d /app -s /bin/bash -g anythingllm anythingllm && \
     mkdir -p /app/frontend/ /app/server/ /app/collector/ && chown -R anythingllm:anythingllm /app
 
 # Copy docker helper scripts
@@ -95,6 +104,8 @@ RUN chmod +x /usr/local/bin/docker-entrypoint.sh && \
 #############################################
 # COMMON BUILD FLOW FOR ALL ARCHS
 #############################################
+
+# hadolint ignore=DL3006
 FROM build-${TARGETARCH} AS build
 RUN echo "Running common build flow of AnythingLLM image for all architectures"
 
@@ -102,43 +113,54 @@ USER anythingllm
 WORKDIR /app
 
 # Install frontend dependencies
-FROM build as frontend-deps
+FROM build AS frontend-deps
 
 COPY ./frontend/package.json ./frontend/yarn.lock ./frontend/
-RUN cd ./frontend/ && yarn install --network-timeout 100000 && yarn cache clean
+WORKDIR /app/frontend
+RUN yarn install --network-timeout 100000 && yarn cache clean
+WORKDIR /app
 
 # Install server dependencies
-FROM build as server-deps
+FROM build AS server-deps
 COPY ./server/package.json ./server/yarn.lock ./server/
-RUN cd ./server/ && yarn install --production --network-timeout 100000 && yarn cache clean
+WORKDIR /app/server
+RUN yarn install --production --network-timeout 100000 && yarn cache clean
+WORKDIR /app
 
 # Compile Llama.cpp bindings for node-llama-cpp for this operating system.
 USER root
-RUN cd ./server && npx --no node-llama-cpp download
+WORKDIR /app/server
+RUN npx --no node-llama-cpp download
+WORKDIR /app
 USER anythingllm
 
 # Build the frontend
-FROM frontend-deps as build-stage
+FROM frontend-deps AS build-stage
 COPY ./frontend/ ./frontend/
-RUN cd ./frontend/ && yarn build && yarn cache clean
+WORKDIR /app/frontend
+RUN yarn build && yarn cache clean
+WORKDIR /app
 
 # Setup the server
-FROM server-deps as production-stage
+FROM server-deps AS production-stage
 COPY --chown=anythingllm:anythingllm ./server/ ./server/
 
 # Copy built static frontend files to the server public directory
-COPY --from=build-stage /app/frontend/dist ./server/public
+COPY --chown=anythingllm:anythingllm --from=build-stage /app/frontend/dist ./server/public
 
 # Copy the collector
 COPY --chown=anythingllm:anythingllm ./collector/ ./collector/
 
 # Install collector dependencies
+WORKDIR /app/collector
 ENV PUPPETEER_DOWNLOAD_BASE_URL=https://storage.googleapis.com/chrome-for-testing-public 
-RUN cd /app/collector && yarn install --production --network-timeout 100000 && yarn cache clean
+RUN yarn install --production --network-timeout 100000 && yarn cache clean
 
 # Migrate and Run Prisma against known schema
-RUN cd ./server && npx prisma generate --schema=./prisma/schema.prisma
-RUN cd ./server && npx prisma migrate deploy --schema=./prisma/schema.prisma
+WORKDIR /app/server
+RUN npx prisma generate --schema=./prisma/schema.prisma && \
+    npx prisma migrate deploy --schema=./prisma/schema.prisma
+WORKDIR /app
 
 # Setup the environment
 ENV NODE_ENV=production

docker/docker-entrypoint.sh

@@ -1,7 +1,8 @@
 #!/bin/bash
-{ cd /app/server/ &&\
-  npx prisma generate --schema=./prisma/schema.prisma &&\
-  npx prisma migrate deploy --schema=./prisma/schema.prisma &&\
+{
+  cd /app/server/ &&
+    npx prisma generate --schema=./prisma/schema.prisma &&
+    npx prisma migrate deploy --schema=./prisma/schema.prisma &&
     node /app/server/index.js
 } &
 { node /app/collector/index.js; } &

docker/docker-healthcheck.sh

@@ -4,7 +4,7 @@
 response=$(curl --write-out '%{http_code}' --silent --output /dev/null http://localhost:3001/api/ping)
 
 # If the HTTP response code is 200 (OK), the server is up
-if [ $response -eq 200 ]; then
+if [ "$response" -eq 200 ]; then
   echo "Server is up"
   exit 0
 else

frontend/src/components/EmbeddingSelection/AzureAiOptions/index.jsx

@@ -9,7 +9,7 @@ export default function AzureAiOptions({ settings }) {
           <input
             type="url"
             name="AzureOpenAiEndpoint"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="https://my-azure.openai.azure.com"
             defaultValue={settings?.AzureOpenAiEndpoint}
             required={true}
@@ -25,7 +25,7 @@ export default function AzureAiOptions({ settings }) {
           <input
             type="password"
             name="AzureOpenAiKey"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="Azure OpenAI API Key"
             defaultValue={settings?.AzureOpenAiKey ? "*".repeat(20) : ""}
             required={true}
@@ -41,7 +41,7 @@ export default function AzureAiOptions({ settings }) {
           <input
             type="text"
             name="AzureOpenAiEmbeddingModelPref"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="Azure OpenAI embedding model deployment name"
             defaultValue={settings?.AzureOpenAiEmbeddingModelPref}
             required={true}

frontend/src/components/EmbeddingSelection/LocalAiOptions/index.jsx

@@ -19,7 +19,7 @@ export default function LocalAiOptions({ settings }) {
           <input
             type="url"
             name="EmbeddingBasePath"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="http://localhost:8080/v1"
             defaultValue={settings?.EmbeddingBasePath}
             onChange={(e) => setBasePathValue(e.target.value)}
@@ -41,7 +41,7 @@ export default function LocalAiOptions({ settings }) {
           <input
             type="number"
             name="EmbeddingModelMaxChunkLength"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="1000"
             min={1}
             onScroll={(e) => e.target.blur()}
@@ -62,7 +62,7 @@ export default function LocalAiOptions({ settings }) {
           <input
             type="password"
             name="LocalAiApiKey"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="sk-mysecretkey"
             defaultValue={settings?.LocalAiApiKey ? "*".repeat(20) : ""}
             autoComplete="off"
@@ -108,7 +108,7 @@ function LocalAIModelSelection({ settings, apiKey = null, basePath = null }) {
         <select
           name="EmbeddingModelPref"
           disabled={true}
-          className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+          className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
         >
           <option disabled={true} selected={true}>
             {basePath?.includes("/v1")
@@ -128,7 +128,7 @@ function LocalAIModelSelection({ settings, apiKey = null, basePath = null }) {
       <select
         name="EmbeddingModelPref"
         required={true}
-        className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+        className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
       >
         {customModels.length > 0 && (
           <optgroup label="Your loaded models">

frontend/src/components/EmbeddingSelection/OllamaOptions/index.jsx

@@ -0,0 +1,120 @@
+import React, { useEffect, useState } from "react";
+import System from "@/models/system";
+
+export default function OllamaEmbeddingOptions({ settings }) {
+  const [basePathValue, setBasePathValue] = useState(
+    settings?.EmbeddingBasePath
+  );
+  const [basePath, setBasePath] = useState(settings?.EmbeddingBasePath);
+
+  return (
+    <div className="w-full flex flex-col gap-y-4">
+      <div className="w-full flex items-center gap-4">
+        <div className="flex flex-col w-60">
+          <label className="text-white text-sm font-semibold block mb-4">
+            Ollama Base URL
+          </label>
+          <input
+            type="url"
+            name="EmbeddingBasePath"
+            className="bg-zinc-900 text-white placeholder-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            placeholder="http://127.0.0.1:11434"
+            defaultValue={settings?.EmbeddingBasePath}
+            onChange={(e) => setBasePathValue(e.target.value)}
+            onBlur={() => setBasePath(basePathValue)}
+            required={true}
+            autoComplete="off"
+            spellCheck={false}
+          />
+        </div>
+        <OllamaLLMModelSelection settings={settings} basePath={basePath} />
+        <div className="flex flex-col w-60">
+          <label className="text-white text-sm font-semibold block mb-4">
+            Max embedding chunk length
+          </label>
+          <input
+            type="number"
+            name="EmbeddingModelMaxChunkLength"
+            className="bg-zinc-900 text-white placeholder-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            placeholder="8192"
+            min={1}
+            onScroll={(e) => e.target.blur()}
+            defaultValue={settings?.EmbeddingModelMaxChunkLength}
+            required={false}
+            autoComplete="off"
+          />
+        </div>
+      </div>
+    </div>
+  );
+}
+
+function OllamaLLMModelSelection({ settings, basePath = null }) {
+  const [customModels, setCustomModels] = useState([]);
+  const [loading, setLoading] = useState(true);
+
+  useEffect(() => {
+    async function findCustomModels() {
+      if (!basePath) {
+        setCustomModels([]);
+        setLoading(false);
+        return;
+      }
+      setLoading(true);
+      const { models } = await System.customModels("ollama", null, basePath);
+      setCustomModels(models || []);
+      setLoading(false);
+    }
+    findCustomModels();
+  }, [basePath]);
+
+  if (loading || customModels.length == 0) {
+    return (
+      <div className="flex flex-col w-60">
+        <label className="text-white text-sm font-semibold block mb-4">
+          Embedding Model Selection
+        </label>
+        <select
+          name="EmbeddingModelPref"
+          disabled={true}
+          className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+        >
+          <option disabled={true} selected={true}>
+            {!!basePath
+              ? "-- loading available models --"
+              : "-- waiting for URL --"}
+          </option>
+        </select>
+      </div>
+    );
+  }
+
+  return (
+    <div className="flex flex-col w-60">
+      <label className="text-white text-sm font-semibold block mb-4">
+        Embedding Model Selection
+      </label>
+      <select
+        name="EmbeddingModelPref"
+        required={true}
+        className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+      >
+        {customModels.length > 0 && (
+          <optgroup label="Your loaded models">
+            {customModels.map((model) => {
+              return (
+                <option
+                  key={model.id}
+                  value={model.id}
+                  selected={settings.EmbeddingModelPref === model.id}
+                >
+                  {model.id}
+                </option>
+              );
+            })}
+          </optgroup>
+        )}
+      </select>
+    </div>
+  );
+}

frontend/src/components/EmbeddingSelection/OpenAiOptions/index.jsx

@@ -9,7 +9,7 @@ export default function OpenAiOptions({ settings }) {
           <input
             type="password"
             name="OpenAiKey"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="OpenAI API Key"
             defaultValue={settings?.OpenAiKey ? "*".repeat(20) : ""}
             required={true}
@@ -24,7 +24,7 @@ export default function OpenAiOptions({ settings }) {
           <select
             name="EmbeddingModelPref"
             required={true}
-            className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+            className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
           >
             <optgroup label="Available embedding models">
               {[

frontend/src/components/Footer/index.jsx

@@ -13,6 +13,7 @@ import {
 } from "@phosphor-icons/react";
 import React, { useEffect, useState } from "react";
 import SettingsButton from "../SettingsButton";
+import { isMobile } from "react-device-detect";
 
 export const MAX_ICONS = 3;
 export const ICON_COMPONENTS = {
@@ -44,7 +45,7 @@ export default function Footer() {
 
   if (!Array.isArray(footerData) || footerData.length === 0) {
     return (
-      <div className="flex justify-center mt-2">
+      <div className="flex justify-center mb-2">
         <div className="flex space-x-4">
           <a
             href={paths.github()}
@@ -73,14 +74,14 @@ export default function Footer() {
               className="h-5 w-5 stroke-slate-200 group-hover:stroke-slate-200"
             />
           </a>
-          <SettingsButton />
+          {!isMobile && <SettingsButton />}
         </div>
       </div>
     );
   }
 
   return (
-    <div className="flex justify-center mt-2">
+    <div className="flex justify-center mb-2">
       <div className="flex space-x-4">
         {footerData.map((item, index) => (
           <a
@@ -96,7 +97,7 @@ export default function Footer() {
             })}
           </a>
         ))}
-        <SettingsButton />
+        {!isMobile && <SettingsButton />}
       </div>
     </div>
   );

frontend/src/components/LLMSelection/AnthropicAiOptions/index.jsx

@@ -29,7 +29,7 @@ export default function AnthropicAiOptions({ settings, showAlert = false }) {
           <input
             type="password"
             name="AnthropicApiKey"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="Anthropic Claude-2 API Key"
             defaultValue={settings?.AnthropicApiKey ? "*".repeat(20) : ""}
             required={true}
@@ -46,9 +46,15 @@ export default function AnthropicAiOptions({ settings, showAlert = false }) {
             name="AnthropicModelPref"
             defaultValue={settings?.AnthropicModelPref || "claude-2"}
             required={true}
-            className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+            className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
           >
-            {["claude-2", "claude-instant-1"].map((model) => {
+            {[
+              "claude-instant-1.2",
+              "claude-2.0",
+              "claude-2.1",
+              "claude-3-opus-20240229",
+              "claude-3-sonnet-20240229",
+            ].map((model) => {
               return (
                 <option key={model} value={model}>
                   {model}

frontend/src/components/LLMSelection/AzureAiOptions/index.jsx

@@ -9,7 +9,7 @@ export default function AzureAiOptions({ settings }) {
           <input
             type="url"
             name="AzureOpenAiEndpoint"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="https://my-azure.openai.azure.com"
             defaultValue={settings?.AzureOpenAiEndpoint}
             required={true}
@@ -25,7 +25,7 @@ export default function AzureAiOptions({ settings }) {
           <input
             type="password"
             name="AzureOpenAiKey"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="Azure OpenAI API Key"
             defaultValue={settings?.AzureOpenAiKey ? "*".repeat(20) : ""}
             required={true}
@@ -41,7 +41,7 @@ export default function AzureAiOptions({ settings }) {
           <input
             type="text"
             name="AzureOpenAiModelPref"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="Azure OpenAI chat model deployment name"
             defaultValue={settings?.AzureOpenAiModelPref}
             required={true}
@@ -59,7 +59,7 @@ export default function AzureAiOptions({ settings }) {
           <select
             name="AzureOpenAiTokenLimit"
             defaultValue={settings?.AzureOpenAiTokenLimit || 4096}
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             required={true}
           >
             <option value={4096}>4,096 (gpt-3.5-turbo)</option>
@@ -77,7 +77,7 @@ export default function AzureAiOptions({ settings }) {
           <input
             type="text"
             name="AzureOpenAiEmbeddingModelPref"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="Azure OpenAI embedding model deployment name"
             defaultValue={settings?.AzureOpenAiEmbeddingModelPref}
             required={true}

frontend/src/components/LLMSelection/GeminiLLMOptions/index.jsx

@@ -9,7 +9,7 @@ export default function GeminiLLMOptions({ settings }) {
           <input
             type="password"
             name="GeminiLLMApiKey"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="Google Gemini API Key"
             defaultValue={settings?.GeminiLLMApiKey ? "*".repeat(20) : ""}
             required={true}
@@ -26,7 +26,7 @@ export default function GeminiLLMOptions({ settings }) {
             name="GeminiLLMModelPref"
             defaultValue={settings?.GeminiLLMModelPref || "gemini-pro"}
             required={true}
-            className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+            className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
           >
             {["gemini-pro"].map((model) => {
               return (

frontend/src/components/LLMSelection/GroqAiOptions/index.jsx

@@ -0,0 +1,41 @@
+export default function GroqAiOptions({ settings }) {
+  return (
+    <div className="flex gap-x-4">
+      <div className="flex flex-col w-60">
+        <label className="text-white text-sm font-semibold block mb-4">
+          Groq API Key
+        </label>
+        <input
+          type="password"
+          name="GroqApiKey"
+          className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
+          placeholder="Groq API Key"
+          defaultValue={settings?.GroqApiKey ? "*".repeat(20) : ""}
+          required={true}
+          autoComplete="off"
+          spellCheck={false}
+        />
+      </div>
+
+      <div className="flex flex-col w-60">
+        <label className="text-white text-sm font-semibold block mb-4">
+          Chat Model Selection
+        </label>
+        <select
+          name="GroqModelPref"
+          defaultValue={settings?.GroqModelPref || "llama2-70b-4096"}
+          required={true}
+          className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+        >
+          {["llama2-70b-4096", "mixtral-8x7b-32768"].map((model) => {
+            return (
+              <option key={model} value={model}>
+                {model}
+              </option>
+            );
+          })}
+        </select>
+      </div>
+    </div>
+  );
+}

frontend/src/components/LLMSelection/HuggingFaceOptions/index.jsx

@@ -9,7 +9,7 @@ export default function HuggingFaceOptions({ settings }) {
           <input
             type="url"
             name="HuggingFaceLLMEndpoint"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="https://example.endpoints.huggingface.cloud"
             defaultValue={settings?.HuggingFaceLLMEndpoint}
             required={true}
@@ -24,7 +24,7 @@ export default function HuggingFaceOptions({ settings }) {
           <input
             type="password"
             name="HuggingFaceLLMAccessToken"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="HuggingFace Access Token"
             defaultValue={
               settings?.HuggingFaceLLMAccessToken ? "*".repeat(20) : ""
@@ -41,7 +41,7 @@ export default function HuggingFaceOptions({ settings }) {
           <input
             type="number"
             name="HuggingFaceLLMTokenLimit"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="4096"
             min={1}
             onScroll={(e) => e.target.blur()}

frontend/src/components/LLMSelection/LMStudioOptions/index.jsx

@@ -29,7 +29,7 @@ export default function LMStudioOptions({ settings, showAlert = false }) {
           <input
             type="url"
             name="LMStudioBasePath"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="http://localhost:1234/v1"
             defaultValue={settings?.LMStudioBasePath}
             required={true}
@@ -44,7 +44,7 @@ export default function LMStudioOptions({ settings, showAlert = false }) {
           <input
             type="number"
             name="LMStudioTokenLimit"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="4096"
             min={1}
             onScroll={(e) => e.target.blur()}

frontend/src/components/LLMSelection/LocalAiOptions/index.jsx

@@ -36,7 +36,7 @@ export default function LocalAiOptions({ settings, showAlert = false }) {
           <input
             type="url"
             name="LocalAiBasePath"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="http://localhost:1234/v1"
             defaultValue={settings?.LocalAiBasePath}
             required={true}
@@ -58,7 +58,7 @@ export default function LocalAiOptions({ settings, showAlert = false }) {
           <input
             type="number"
             name="LocalAiTokenLimit"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="4096"
             min={1}
             onScroll={(e) => e.target.blur()}
@@ -80,7 +80,7 @@ export default function LocalAiOptions({ settings, showAlert = false }) {
           <input
             type="password"
             name="LocalAiApiKey"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="sk-mysecretkey"
             defaultValue={settings?.LocalAiApiKey ? "*".repeat(20) : ""}
             autoComplete="off"
@@ -126,7 +126,7 @@ function LocalAIModelSelection({ settings, basePath = null, apiKey = null }) {
         <select
           name="LocalAiModelPref"
           disabled={true}
-          className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+          className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
         >
           <option disabled={true} selected={true}>
             {basePath?.includes("/v1")
@@ -146,7 +146,7 @@ function LocalAIModelSelection({ settings, basePath = null, apiKey = null }) {
       <select
         name="LocalAiModelPref"
         required={true}
-        className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+        className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
       >
         {customModels.length > 0 && (
           <optgroup label="Your loaded models">

frontend/src/components/LLMSelection/MistralOptions/index.jsx

@@ -14,7 +14,7 @@ export default function MistralOptions({ settings }) {
         <input
           type="password"
           name="MistralApiKey"
-          className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+          className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
           placeholder="Mistral API Key"
           defaultValue={settings?.MistralApiKey ? "*".repeat(20) : ""}
           required={true}
@@ -60,7 +60,7 @@ function MistralModelSelection({ apiKey, settings }) {
         <select
           name="MistralModelPref"
           disabled={true}
-          className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+          className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
         >
           <option disabled={true} selected={true}>
             {!!apiKey
@@ -80,7 +80,7 @@ function MistralModelSelection({ apiKey, settings }) {
       <select
         name="MistralModelPref"
         required={true}
-        className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+        className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
       >
         {customModels.length > 0 && (
           <optgroup label="Available Mistral Models">

frontend/src/components/LLMSelection/NativeLLMOptions/index.jsx

@@ -43,7 +43,7 @@ function NativeModelSelection({ settings }) {
         <select
           name="NativeLLMModelPref"
           disabled={true}
-          className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+          className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
         >
           <option disabled={true} selected={true}>
             -- waiting for models --
@@ -62,7 +62,7 @@ function NativeModelSelection({ settings }) {
         <select
           name="NativeLLMModelPref"
           required={true}
-          className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+          className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
         >
           {customModels.length > 0 && (
             <optgroup label="Your loaded models">
@@ -88,7 +88,7 @@ function NativeModelSelection({ settings }) {
         <input
           type="number"
           name="NativeLLMTokenLimit"
-          className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+          className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
           placeholder="4096"
           min={1}
           onScroll={(e) => e.target.blur()}

frontend/src/components/LLMSelection/OllamaLLMOptions/index.jsx

@@ -17,7 +17,7 @@ export default function OllamaLLMOptions({ settings }) {
           <input
             type="url"
             name="OllamaLLMBasePath"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="http://127.0.0.1:11434"
             defaultValue={settings?.OllamaLLMBasePath}
             required={true}
@@ -35,7 +35,7 @@ export default function OllamaLLMOptions({ settings }) {
           <input
             type="number"
             name="OllamaLLMTokenLimit"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="4096"
             min={1}
             onScroll={(e) => e.target.blur()}
@@ -77,7 +77,7 @@ function OllamaLLMModelSelection({ settings, basePath = null }) {
         <select
           name="OllamaLLMModelPref"
           disabled={true}
-          className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+          className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
         >
           <option disabled={true} selected={true}>
             {!!basePath
@@ -97,7 +97,7 @@ function OllamaLLMModelSelection({ settings, basePath = null }) {
       <select
         name="OllamaLLMModelPref"
         required={true}
-        className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+        className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
       >
         {customModels.length > 0 && (
           <optgroup label="Your loaded models">

frontend/src/components/LLMSelection/OpenAiOptions/index.jsx

@@ -14,7 +14,7 @@ export default function OpenAiOptions({ settings }) {
         <input
           type="password"
           name="OpenAiKey"
-          className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+          className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
           placeholder="OpenAI API Key"
           defaultValue={settings?.OpenAiKey ? "*".repeat(20) : ""}
           required={true}
@@ -60,7 +60,7 @@ function OpenAIModelSelection({ apiKey, settings }) {
         <select
           name="OpenAiModelPref"
           disabled={true}
-          className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+          className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
         >
           <option disabled={true} selected={true}>
             -- loading available models --
@@ -78,7 +78,7 @@ function OpenAIModelSelection({ apiKey, settings }) {
       <select
         name="OpenAiModelPref"
         required={true}
-        className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+        className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
       >
         <optgroup label="General LLM models">
           {[

frontend/src/components/LLMSelection/OpenRouterOptions/index.jsx

@@ -11,7 +11,7 @@ export default function OpenRouterOptions({ settings }) {
         <input
           type="password"
           name="OpenRouterApiKey"
-          className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+          className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
           placeholder="OpenRouter API Key"
           defaultValue={settings?.OpenRouterApiKey ? "*".repeat(20) : ""}
           required={true}
@@ -56,7 +56,7 @@ function OpenRouterModelSelection({ settings }) {
         <select
           name="OpenRouterModelPref"
           disabled={true}
-          className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+          className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
         >
           <option disabled={true} selected={true}>
             -- loading available models --
@@ -74,7 +74,7 @@ function OpenRouterModelSelection({ settings }) {
       <select
         name="OpenRouterModelPref"
         required={true}
-        className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+        className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
       >
         {Object.keys(groupedModels)
           .sort()

frontend/src/components/LLMSelection/PerplexityOptions/index.jsx

@@ -11,7 +11,7 @@ export default function PerplexityOptions({ settings }) {
         <input
           type="password"
           name="PerplexityApiKey"
-          className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+          className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
           placeholder="Perplexity API Key"
           defaultValue={settings?.PerplexityApiKey ? "*".repeat(20) : ""}
           required={true}
@@ -47,7 +47,7 @@ function PerplexityModelSelection({ settings }) {
         <select
           name="PerplexityModelPref"
           disabled={true}
-          className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+          className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
         >
           <option disabled={true} selected={true}>
             -- loading available models --
@@ -65,7 +65,7 @@ function PerplexityModelSelection({ settings }) {
       <select
         name="PerplexityModelPref"
         required={true}
-        className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+        className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
       >
         {customModels.length > 0 && (
           <optgroup label="Available Perplexity Models">

frontend/src/components/LLMSelection/TogetherAiOptions/index.jsx

@@ -11,7 +11,7 @@ export default function TogetherAiOptions({ settings }) {
         <input
           type="password"
           name="TogetherAiApiKey"
-          className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+          className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
           placeholder="Together AI API Key"
           defaultValue={settings?.TogetherAiApiKey ? "*".repeat(20) : ""}
           required={true}
@@ -56,7 +56,7 @@ function TogetherAiModelSelection({ settings }) {
         <select
           name="TogetherAiModelPref"
           disabled={true}
-          className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+          className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
         >
           <option disabled={true} selected={true}>
             -- loading available models --
@@ -74,7 +74,7 @@ function TogetherAiModelSelection({ settings }) {
       <select
         name="TogetherAiModelPref"
         required={true}
-        className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+        className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
       >
         {Object.keys(groupedModels)
           .sort()

frontend/src/components/Modals/MangeWorkspace/Documents/Directory/index.jsx

@@ -3,6 +3,7 @@ import PreLoader from "@/components/Preloader";
 import { memo, useEffect, useState } from "react";
 import FolderRow from "./FolderRow";
 import pluralize from "pluralize";
+import System from "@/models/system";
 
 function Directory({
   files,
@@ -19,6 +20,40 @@ function Directory({
 }) {
   const [amountSelected, setAmountSelected] = useState(0);
 
+  const deleteFiles = async (event) => {
+    event.stopPropagation();
+    if (
+      !window.confirm(
+        "Are you sure you want to delete these files?\nThis will remove the files from the system and remove them from any existing workspaces automatically.\nThis action is not reversible."
+      )
+    ) {
+      return false;
+    }
+
+    try {
+      const toRemove = [];
+      for (const itemId of Object.keys(selectedItems)) {
+        for (const folder of files.items) {
+          const foundItem = folder.items.find((file) => file.id === itemId);
+          if (foundItem) {
+            toRemove.push(`${folder.name}/${foundItem.name}`);
+            break;
+          }
+        }
+      }
+      setLoading(true);
+      setLoadingMessage(`Removing ${toRemove.length} documents. Please wait.`);
+      await System.deleteDocuments(toRemove);
+      await fetchKeys(true);
+      setSelectedItems({});
+    } catch (error) {
+      console.error("Failed to delete the document:", error);
+    } finally {
+      setLoading(false);
+      setSelectedItems({});
+    }
+  };
+
   const toggleSelection = (item) => {
     setSelectedItems((prevSelectedItems) => {
       const newSelectedItems = { ...prevSelectedItems };
@@ -119,18 +154,24 @@ function Directory({
           </div>
 
           {amountSelected !== 0 && (
-            <div className="absolute bottom-0 left-0 w-full flex justify-center items-center h-9 bg-white rounded-b-2xl">
-              <div className="flex gap-x-5">
-                <div
+            <div className="absolute bottom-0 left-0 w-full flex justify-between items-center h-9 bg-white rounded-b-2xl">
+              <div className="flex gap-x-5 w-[80%] justify-center">
+                <button
                   onMouseEnter={() => setHighlightWorkspace(true)}
                   onMouseLeave={() => setHighlightWorkspace(false)}
                   onClick={moveToWorkspace}
-                  className="text-sm font-semibold h-7 px-2.5 rounded-lg transition-all duration-300 hover:text-white hover:bg-neutral-800/80 cursor-pointer flex items-center"
+                  className="border-none text-sm font-semibold h-7 px-2.5 rounded-lg hover:text-white hover:bg-neutral-800/80 flex items-center"
                 >
                   Move {amountSelected} {pluralize("file", amountSelected)} to
                   workspace
+                </button>
               </div>
-              </div>
+              <button
+                onClick={deleteFiles}
+                className="border-none text-red-500/50 text-sm font-semibold h-7 px-2.5 rounded-lg hover:text-red-500/80 flex items-center"
+              >
+                Delete
+              </button>
             </div>
           )}
         </div>

frontend/src/components/Modals/MangeWorkspace/Documents/UploadFile/index.jsx

@@ -35,7 +35,7 @@ export default function UploadFile({ workspace, fetchKeys, setLoading }) {
 
   const handleUploadSuccess = () => {
     fetchKeys(true);
-    showToast("File uploaded successfully", "success");
+    showToast("File uploaded successfully", "success", { clear: true });
   };
 
   const handleUploadError = (message) => {
@@ -105,7 +105,7 @@ export default function UploadFile({ workspace, fetchKeys, setLoading }) {
             </div>
           </div>
         ) : (
-          <div className="grid grid-cols-2 gap-2 overflow-auto max-h-[400px] p-1 overflow-y-auto">
+          <div className="grid grid-cols-2 gap-2 overflow-auto max-h-[180px] p-1 overflow-y-scroll no-scroll">
             {files.map((file) => (
               <FileUploadProgress
                 key={file.uid}
@@ -128,7 +128,7 @@ export default function UploadFile({ workspace, fetchKeys, setLoading }) {
           disabled={fetchingUrl}
           name="link"
           type="url"
-          className="disabled:bg-zinc-600 disabled:text-slate-300 bg-zinc-900 text-white text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-3/4 p-2.5"
+          className="disabled:bg-zinc-600 disabled:text-slate-300 bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-3/4 p-2.5"
           placeholder={"https://example.com"}
           autoComplete="off"
         />

frontend/src/components/Modals/MangeWorkspace/Documents/WorkspaceDirectory/WorkspaceFileRow/index.jsx

@@ -4,12 +4,7 @@ import {
   getFileExtension,
   middleTruncate,
 } from "@/utils/directories";
-import {
-  ArrowUUpLeft,
-  File,
-  PushPin,
-  PushPinSlash,
-} from "@phosphor-icons/react";
+import { ArrowUUpLeft, File, PushPin } from "@phosphor-icons/react";
 import Workspace from "@/models/workspace";
 import debounce from "lodash.debounce";
 import { Tooltip } from "react-tooltip";
@@ -144,28 +139,27 @@ const PinItemToWorkspace = memo(({ workspace, docPath, item }) => {
 
   if (!item) return <div />;
 
-  const PinIcon = pinned ? PushPinSlash : PushPin;
   return (
     <div
       onMouseEnter={() => setHover(true)}
       onMouseLeave={() => setHover(false)}
+      className="flex gap-x-2 items-center hover:bg-main-gradient p-[2px] rounded ml-2"
     >
-      <PinIcon
+      <PushPin
         data-tooltip-id={`pin-${item.id}`}
         data-tooltip-content={
-          pinned ? "Unpin document from workspace" : "Pin document to workspace"
+          pinned ? "Un-Pin from workspace" : "Pin to workspace"
         }
+        size={16}
         onClick={updatePinStatus}
-        weight={hover ? "fill" : "regular"}
-        className={`outline-none text-base font-bold w-4 h-4 ml-2 flex-shrink-0 cursor-pointer ${
-          pinned ? "hover:text-red-300" : ""
-        }`}
+        weight={hover || pinned ? "fill" : "regular"}
+        className="outline-none text-base font-bold flex-shrink-0 cursor-pointer"
       />
       <Tooltip
         id={`pin-${item.id}`}
         place="bottom"
         delayShow={300}
-        className="tooltip !text-xs"
+        className="tooltip invert !text-xs"
       />
     </div>
   );
@@ -184,7 +178,7 @@ const RemoveItemFromWorkspace = ({ item, onClick }) => {
         id={`remove-${item.id}`}
         place="bottom"
         delayShow={300}
-        className="tooltip !text-xs"
+        className="tooltip invert !text-xs"
       />
     </div>
   );

frontend/src/components/Modals/NewWorkspace.jsx

@@ -52,7 +52,7 @@ export default function NewWorkspaceModal({ hideModal = noop }) {
                     name="name"
                     type="text"
                     id="name"
-                    className="bg-zinc-900 w-full text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+                    className="bg-zinc-900 w-full text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
                     placeholder="My Workspace"
                     required={true}
                     autoComplete="off"

frontend/src/components/SettingsButton/index.jsx

@@ -8,6 +8,8 @@ export default function SettingsButton() {
   const isInSettings = !!useMatch("/settings/*");
   const { user } = useUser();
 
+  if (user && user?.role === "default") return null;
+
   if (isInSettings)
     return (
       <Link

frontend/src/components/SettingsSidebar/index.jsx

@@ -112,13 +112,11 @@ export default function SettingsSidebar() {
                     <SidebarOptions user={user} />
                   </div>
                 </div>
-                <div>
                 <Footer />
               </div>
             </div>
           </div>
         </div>
-        </div>
       </>
     );
   }
@@ -151,13 +149,11 @@ export default function SettingsSidebar() {
                 <SidebarOptions user={user} />
               </div>
             </div>
-            <div className="mb-2">
             <Footer />
           </div>
         </div>
       </div>
     </div>
-    </div>
   );
 }
 
@@ -185,22 +181,22 @@ const Option = ({
 
   return (
     <>
-      <div className="flex gap-x-2 items-center justify-between text-white">
+      <div className="flex gap-x-2 items-center justify-between">
         <Link
           to={href}
           className={`
           transition-all duration-[200ms]
-          flex flex-grow w-[75%] gap-x-2 py-[6px] px-[12px] rounded-[4px] text-white justify-start items-center
-          hover:bg-workspace-item-selected-gradient hover:text-white hover:font-bold
+          flex flex-grow w-[75%] gap-x-2 py-[6px] px-[12px] rounded-[4px] justify-start items-center
+          hover:bg-workspace-item-selected-gradient hover:text-white hover:font-medium
           ${
             isActive
-              ? "bg-menu-item-selected-gradient font-bold border-outline"
-              : "hover:bg-menu-item-selected-gradient text-white/30"
+              ? "bg-menu-item-selected-gradient font-medium border-outline text-white"
+              : "hover:bg-menu-item-selected-gradient text-zinc-200"
           }
         `}
         >
           {React.cloneElement(icon, { weight: isActive ? "fill" : "regular" })}
-          <p className="text-sm leading-loose text-opacity-60 whitespace-nowrap overflow-hidden ">
+          <p className="text-sm leading-loose whitespace-nowrap overflow-hidden ">
             {btnText}
           </p>
         </Link>

frontend/src/components/Sidebar/ActiveWorkspaces/index.jsx

@@ -92,8 +92,12 @@ export default function ActiveWorkspaces() {
                 className={`
               transition-all duration-[200ms]
                 flex flex-grow w-[75%] gap-x-2 py-[6px] px-[12px] rounded-[4px] text-white justify-start items-center
-                hover:bg-workspace-item-selected-gradient hover:font-bold border-2 border-outline
-                ${isActive && "bg-workspace-item-selected-gradient font-bold"}`}
+                hover:bg-workspace-item-selected-gradient  border-outline
+                ${
+                  isActive
+                    ? "bg-workspace-item-selected-gradient font-medium border-none"
+                    : "border-[1px]"
+                }`}
               >
                 <div className="flex flex-row justify-between w-full">
                   <div className="flex items-center space-x-2">
@@ -103,8 +107,8 @@ export default function ActiveWorkspaces() {
                       size={24}
                     />
                     <p
-                      className={`text-white text-[14px] leading-loose whitespace-nowrap overflow-hidden ${
-                        isActive ? "" : "text-opacity-80"
+                      className={`text-[14px] leading-loose whitespace-nowrap overflow-hidden ${
+                        isActive ? "text-white " : "text-zinc-200"
                       }`}
                     >
                       {isActive || isHovered

frontend/src/components/Sidebar/index.jsx

@@ -38,10 +38,10 @@ export default function Sidebar() {
       <div
         ref={sidebarRef}
         style={{ height: "calc(100% - 76px)" }}
-        className="transition-all duration-500 relative m-[16px] rounded-[16px] bg-sidebar border-2 border-outline min-w-[250px] p-[10px]"
+        className="transition-all pt-[11px] px-[10px] duration-500 relative m-[16px] rounded-[16px] bg-sidebar border-2 border-outline min-w-[250px]"
       >
         <div className="flex flex-col h-full overflow-x-hidden">
-          <div className="flex-grow flex flex-col min-w-[235px]">
+          <div className="flex-grow flex flex-col w-[235px]">
             <div className="flex flex-col gap-y-2 pb-8 overflow-y-scroll no-scroll">
               <div className="flex gap-x-2 items-center justify-between">
                 {(!user || user?.role !== "default") && (
@@ -144,11 +144,9 @@ export function SidebarMobileHeader() {
                   style={{ objectFit: "contain" }}
                 />
               </div>
-              {(!user || user?.role !== "default") && (
               <div className="flex gap-x-2 items-center text-slate-500 shink-0">
                 <SettingsButton />
               </div>
-              )}
             </div>
 
             {/* Primary Body */}

frontend/src/components/UserMenu/AccountModal/index.jsx

@@ -125,7 +125,7 @@ export default function AccountModal({ user, hideModal }) {
               <input
                 name="username"
                 type="text"
-                className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+                className="bg-zinc-900 placeholder:text-white/20 border-gray-500 text-white text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5"
                 placeholder="User's username"
                 minLength={2}
                 defaultValue={user.username}
@@ -143,7 +143,7 @@ export default function AccountModal({ user, hideModal }) {
               <input
                 name="password"
                 type="password"
-                className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+                className="bg-zinc-900 placeholder:text-white/20 border-gray-500 text-white text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5"
                 placeholder={`${user.username}'s new password`}
               />
             </div>

frontend/src/components/UserMenu/UserButton/index.jsx

@@ -61,7 +61,7 @@ export default function UserButton() {
         type="button"
         className="uppercase transition-all duration-300 w-[35px] h-[35px] text-base font-semibold rounded-full flex items-center bg-sidebar-button hover:bg-menu-item-selected-gradient justify-center text-white p-2 hover:border-slate-100 hover:border-opacity-50 border-transparent border"
       >
-        {mode === "multi" ? userDisplay() : <Person size={14} />}
+        {mode === "multi" ? <UserDisplay /> : <Person size={14} />}
       </button>
 
       {showMenu && (
@@ -109,7 +109,7 @@ export default function UserButton() {
   );
 }
 
-function userDisplay() {
+function UserDisplay() {
   const { pfp } = usePfp();
   const user = userFromStorage();
 

frontend/src/components/VectorDBSelection/AstraDBOptions/index.jsx

@@ -9,7 +9,7 @@ export default function AstraDBOptions({ settings }) {
           <input
             type="url"
             name="AstraDBEndpoint"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="Astra DB API endpoint"
             defaultValue={settings?.AstraDBEndpoint}
             required={true}
@@ -25,7 +25,7 @@ export default function AstraDBOptions({ settings }) {
           <input
             type="password"
             name="AstraDBApplicationToken"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="AstraCS:..."
             defaultValue={
               settings?.AstraDBApplicationToken ? "*".repeat(20) : ""

frontend/src/components/VectorDBSelection/ChromaDBOptions/index.jsx

@@ -9,7 +9,7 @@ export default function ChromaDBOptions({ settings }) {
           <input
             type="url"
             name="ChromaEndpoint"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="http://localhost:8000"
             defaultValue={settings?.ChromaEndpoint}
             required={true}
@@ -27,7 +27,7 @@ export default function ChromaDBOptions({ settings }) {
             autoComplete="off"
             type="text"
             defaultValue={settings?.ChromaApiHeader}
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="X-Api-Key"
           />
         </div>
@@ -41,7 +41,7 @@ export default function ChromaDBOptions({ settings }) {
             autoComplete="off"
             type="password"
             defaultValue={settings?.ChromaApiKey ? "*".repeat(20) : ""}
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="sk-myApiKeyToAccessMyChromaInstance"
           />
         </div>

frontend/src/components/VectorDBSelection/MilvusDBOptions/index.jsx

@@ -9,7 +9,7 @@ export default function MilvusDBOptions({ settings }) {
           <input
             type="text"
             name="MilvusAddress"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="http://localhost:19530"
             defaultValue={settings?.MilvusAddress}
             required={true}
@@ -25,7 +25,7 @@ export default function MilvusDBOptions({ settings }) {
           <input
             type="text"
             name="MilvusUsername"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="username"
             defaultValue={settings?.MilvusUsername}
             autoComplete="off"
@@ -39,7 +39,7 @@ export default function MilvusDBOptions({ settings }) {
           <input
             type="password"
             name="MilvusPassword"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="password"
             defaultValue={settings?.MilvusPassword ? "*".repeat(20) : ""}
             autoComplete="off"

frontend/src/components/VectorDBSelection/PineconeDBOptions/index.jsx

@@ -9,7 +9,7 @@ export default function PineconeDBOptions({ settings }) {
           <input
             type="password"
             name="PineConeKey"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="Pinecone API Key"
             defaultValue={settings?.PineConeKey ? "*".repeat(20) : ""}
             required={true}
@@ -24,7 +24,7 @@ export default function PineconeDBOptions({ settings }) {
           <input
             type="text"
             name="PineConeIndex"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="my-index"
             defaultValue={settings?.PineConeIndex}
             required={true}

frontend/src/components/VectorDBSelection/QDrantDBOptions/index.jsx

@@ -9,7 +9,7 @@ export default function QDrantDBOptions({ settings }) {
           <input
             type="url"
             name="QdrantEndpoint"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="http://localhost:6633"
             defaultValue={settings?.QdrantEndpoint}
             required={true}
@@ -25,7 +25,7 @@ export default function QDrantDBOptions({ settings }) {
           <input
             type="password"
             name="QdrantApiKey"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="wOeqxsYP4....1244sba"
             defaultValue={settings?.QdrantApiKey}
             autoComplete="off"

frontend/src/components/VectorDBSelection/WeaviateDBOptions/index.jsx

@@ -9,7 +9,7 @@ export default function WeaviateDBOptions({ settings }) {
           <input
             type="url"
             name="WeaviateEndpoint"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="http://localhost:8080"
             defaultValue={settings?.WeaviateEndpoint}
             required={true}
@@ -25,7 +25,7 @@ export default function WeaviateDBOptions({ settings }) {
           <input
             type="password"
             name="WeaviateApiKey"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="sk-123Abcweaviate"
             defaultValue={settings?.WeaviateApiKey}
             autoComplete="off"

frontend/src/components/VectorDBSelection/ZillizCloudOptions/index.jsx

@@ -9,7 +9,7 @@ export default function ZillizCloudOptions({ settings }) {
           <input
             type="text"
             name="ZillizEndpoint"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="https://sample.api.gcp-us-west1.zillizcloud.com"
             defaultValue={settings?.ZillizEndpoint}
             required={true}
@@ -25,7 +25,7 @@ export default function ZillizCloudOptions({ settings }) {
           <input
             type="password"
             name="ZillizApiToken"
-            className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
             placeholder="Zilliz cluster API Token"
             defaultValue={settings?.ZillizApiToken ? "*".repeat(20) : ""}
             autoComplete="off"

frontend/src/hooks/useGetProvidersModels.js

@@ -13,12 +13,19 @@ const PROVIDER_DEFAULT_MODELS = {
     "gpt-4-32k",
   ],
   gemini: ["gemini-pro"],
-  anthropic: ["claude-2", "claude-instant-1"],
+  anthropic: [
+    "claude-instant-1.2",
+    "claude-2.0",
+    "claude-2.1",
+    "claude-3-opus-20240229",
+    "claude-3-sonnet-20240229",
+  ],
   azure: [],
   lmstudio: [],
   localai: [],
   ollama: [],
   togetherai: [],
+  groq: ["llama2-70b-4096", "mixtral-8x7b-32768"],
   native: [],
 };
 

frontend/src/models/system.js

@@ -152,6 +152,18 @@ const System = {
         return false;
       });
   },
+  deleteDocuments: async (names = []) => {
+    return await fetch(`${API_BASE}/system/remove-documents`, {
+      method: "DELETE",
+      headers: baseHeaders(),
+      body: JSON.stringify({ names }),
+    })
+      .then((res) => res.ok)
+      .catch((e) => {
+        console.error(e);
+        return false;
+      });
+  },
   deleteFolder: async (name) => {
     return await fetch(`${API_BASE}/system/remove-folder`, {
       method: "DELETE",

frontend/src/pages/Admin/Users/NewUserModal/index.jsx

@@ -49,7 +49,7 @@ export default function NewUserModal({ closeModal }) {
                 <input
                   name="username"
                   type="text"
-                  className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5"
+                  className="bg-zinc-900 placeholder:text-white/20 border-gray-500 text-white text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5"
                   placeholder="User's username"
                   minLength={2}
                   required={true}
@@ -66,7 +66,7 @@ export default function NewUserModal({ closeModal }) {
                 <input
                   name="password"
                   type="text"
-                  className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5"
+                  className="bg-zinc-900 placeholder:text-white/20 border-gray-500 text-white text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5"
                   placeholder="User's initial password"
                   required={true}
                   autoComplete="off"
@@ -84,7 +84,7 @@ export default function NewUserModal({ closeModal }) {
                   required={true}
                   defaultValue={"default"}
                   onChange={(e) => setRole(e.target.value)}
-                  className="rounded-lg bg-zinc-900 px-4 py-2 text-sm text-white border border-gray-500 focus:ring-blue-500 focus:border-blue-500"
+                  className="rounded-lg bg-zinc-900 px-4 py-2 text-sm text-white border-gray-500 focus:ring-blue-500 focus:border-blue-500"
                 >
                   <option value="default">Default</option>
                   <option value="manager">Manager </option>

frontend/src/pages/Admin/Users/UserRow/EditUserModal/index.jsx

@@ -50,7 +50,7 @@ export default function EditUserModal({ currentUser, user, closeModal }) {
                 <input
                   name="username"
                   type="text"
-                  className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5"
+                  className="bg-zinc-900 placeholder:text-white/20 border-gray-500 text-white text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5"
                   placeholder="User's username"
                   minLength={2}
                   defaultValue={user.username}
@@ -68,7 +68,7 @@ export default function EditUserModal({ currentUser, user, closeModal }) {
                 <input
                   name="password"
                   type="text"
-                  className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5"
+                  className="bg-zinc-900 placeholder:text-white/20 border-gray-500 text-white text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5"
                   placeholder={`${user.username}'s new password`}
                   autoComplete="off"
                 />
@@ -85,7 +85,7 @@ export default function EditUserModal({ currentUser, user, closeModal }) {
                   required={true}
                   defaultValue={user.role}
                   onChange={(e) => setRole(e.target.value)}
-                  className="rounded-lg bg-zinc-900 px-4 py-2 text-sm text-white border border-gray-500 focus:ring-blue-500 focus:border-blue-500"
+                  className="rounded-lg bg-zinc-900 px-4 py-2 text-sm text-white border-gray-500 focus:ring-blue-500 focus:border-blue-500"
                 >
                   <option value="default">Default</option>
                   <option value="manager">Manager</option>

frontend/src/pages/Admin/Workspaces/NewWorkspaceModal/index.jsx

@@ -42,7 +42,7 @@ export default function NewWorkspaceModal({ closeModal }) {
                 <input
                   name="name"
                   type="text"
-                  className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5"
+                  className="bg-zinc-900 placeholder:text-white/20 border-gray-500 text-white text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5"
                   placeholder="My workspace"
                   minLength={4}
                   required={true}

frontend/src/pages/Admin/Workspaces/WorkspaceRow/EditWorkspaceUsersModal/index.jsx

@@ -52,7 +52,7 @@ export default function EditWorkspaceUsersModal({
         </div>
         <form onSubmit={handleUpdate}>
           <div className="p-6 space-y-6 flex h-full w-full">
-            <div className="w-full flex flex-col gap-y-4">
+            <div className="w-full flex flex-col gap-y-4 max-h-[350px] overflow-y-scroll">
               {users
                 .filter((user) => user.role !== "admin")
                 .map((user) => {

frontend/src/pages/GeneralSettings/Appearance/CustomLogo/index.jsx

@@ -107,12 +107,14 @@ export default function CustomLogo() {
               </div>
             </div>
           </label>
+          {!isDefaultLogo && (
             <button
               onClick={handleRemoveLogo}
               className="text-white text-base font-medium hover:text-opacity-60"
             >
               Delete
             </button>
+          )}
         </div>
       </div>
     </div>

frontend/src/pages/GeneralSettings/Appearance/FooterCustomization/NewIconForm/index.jsx

@@ -73,7 +73,7 @@ export default function NewIconForm({ handleSubmit, showing }) {
               name="url"
               required={true}
               placeholder="https://example.com"
-              className="bg-sidebar text-white placeholder-white/60 rounded-md p-2"
+              className="bg-sidebar text-white placeholder:text-white/20 rounded-md p-2"
             />
           </div>
           {selectedIcon !== "" && (

frontend/src/pages/GeneralSettings/Appearance/SupportEmail/index.jsx

@@ -64,7 +64,7 @@ export default function SupportEmail() {
         <input
           name="supportEmail"
           type="email"
-          className="bg-zinc-900 mt-4 text-white text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 max-w-[275px]"
+          className="bg-zinc-900 mt-4 text-white placeholder:text-white/20 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 max-w-[275px]"
           placeholder="support@mycompany.com"
           required={true}
           autoComplete="off"

frontend/src/pages/GeneralSettings/DataConnectors/Connectors/Github/index.jsx

@@ -132,7 +132,7 @@ export default function GithubConnectorSetup() {
                     <input
                       type="url"
                       name="repo"
-                      className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+                      className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
                       placeholder="https://github.com/Mintplex-Labs/anything-llm"
                       required={true}
                       autoComplete="off"
@@ -156,7 +156,7 @@ export default function GithubConnectorSetup() {
                     <input
                       type="text"
                       name="accessToken"
-                      className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+                      className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
                       placeholder="github_pat_1234_abcdefg"
                       required={false}
                       autoComplete="off"
@@ -189,7 +189,7 @@ export default function GithubConnectorSetup() {
                     classNames={{
                       tag: "bg-blue-300/10 text-zinc-800 m-1",
                       input:
-                        "flex bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white p-2.5",
+                        "flex bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white p-2.5",
                     }}
                   />
                 </div>
@@ -257,7 +257,7 @@ function GitHubBranchSelection({ repo, accessToken }) {
         <select
           name="branch"
           required={true}
-          className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+          className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
         >
           <option disabled={true} selected={true}>
             -- loading available models --
@@ -278,7 +278,7 @@ function GitHubBranchSelection({ repo, accessToken }) {
       <select
         name="branch"
         required={true}
-        className="bg-zinc-900 border border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+        className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
       >
         {allBranches.map((branch) => {
           return (

frontend/src/pages/GeneralSettings/DataConnectors/Connectors/Youtube/index.jsx

@@ -79,7 +79,7 @@ export default function YouTubeTranscriptConnectorSetup() {
                     <input
                       type="url"
                       name="url"
-                      className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-full p-2.5"
+                      className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-full p-2.5"
                       placeholder="https://youtube.com/watch?v=abc123"
                       required={true}
                       autoComplete="off"

frontend/src/pages/GeneralSettings/EmbedConfigs/EmbedRow/CodeSnippetModal/index.jsx

@@ -98,7 +98,7 @@ const ScriptTag = ({ embed }) => {
       <button
         disabled={copied}
         onClick={handleClick}
-        className="disabled:border disabled:border-green-300 border border-transparent relative w-full font-mono flex bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white p-2.5"
+        className="disabled:border disabled:border-green-300 border border-transparent relative w-full font-mono flex bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white p-2.5"
       >
         <div
           className="flex w-full text-left flex-col gap-y-1 pr-6 pl-4 whitespace-pre-line"

frontend/src/pages/GeneralSettings/EmbedConfigs/NewEmbedModal/index.jsx

@@ -144,7 +144,7 @@ export const WorkspaceSelection = ({ defaultValue = null }) => {
         name="workspace_id"
         required={true}
         defaultValue={defaultValue}
-        className="min-w-[15rem] rounded-lg bg-zinc-900 px-4 py-2 text-sm text-white border border-gray-500 focus:ring-blue-500 focus:border-blue-500"
+        className="min-w-[15rem] rounded-lg bg-zinc-900 px-4 py-2 text-sm text-white focus:ring-blue-500 focus:border-blue-500"
       >
         {workspaces.map((workspace) => {
           return (
@@ -274,7 +274,7 @@ export const PermittedDomains = ({ defaultValue = [] }) => {
         classNames={{
           tag: "bg-blue-300/10 text-zinc-800 m-1",
           input:
-            "flex bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white p-2.5",
+            "flex bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white p-2.5",
         }}
       />
     </div>
@@ -293,7 +293,7 @@ export const NumberInput = ({ name, title, hint, defaultValue = 0 }) => {
       <input
         type="number"
         name={name}
-        className="bg-zinc-900 text-white placeholder-white placeholder-opacity-60 text-sm rounded-lg focus:border-white block w-[15rem] p-2.5"
+        className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:border-white block w-[15rem] p-2.5"
         min={0}
         defaultValue={defaultValue}
         onScroll={(e) => e.target.blur()}

frontend/src/pages/GeneralSettings/EmbeddingPreference/index.jsx

@@ -7,12 +7,14 @@ import AnythingLLMIcon from "@/media/logo/anything-llm-icon.png";
 import OpenAiLogo from "@/media/llmprovider/openai.png";
 import AzureOpenAiLogo from "@/media/llmprovider/azure.png";
 import LocalAiLogo from "@/media/llmprovider/localai.png";
+import OllamaLogo from "@/media/llmprovider/ollama.png";
 import PreLoader from "@/components/Preloader";
 import ChangeWarningModal from "@/components/ChangeWarning";
 import OpenAiOptions from "@/components/EmbeddingSelection/OpenAiOptions";
 import AzureAiOptions from "@/components/EmbeddingSelection/AzureAiOptions";
 import LocalAiOptions from "@/components/EmbeddingSelection/LocalAiOptions";
 import NativeEmbeddingOptions from "@/components/EmbeddingSelection/NativeEmbeddingOptions";
+import OllamaEmbeddingOptions from "@/components/EmbeddingSelection/OllamaOptions";
 import EmbedderItem from "@/components/EmbeddingSelection/EmbedderItem";
 import { MagnifyingGlass } from "@phosphor-icons/react";
 import { useModal } from "@/hooks/useModal";
@@ -108,6 +110,13 @@ export default function GeneralEmbeddingPreference() {
       options: <LocalAiOptions settings={settings} />,
       description: "Run embedding models locally on your own machine.",
     },
+    {
+      name: "Ollama",
+      value: "ollama",
+      logo: OllamaLogo,
+      options: <OllamaEmbeddingOptions settings={settings} />,
+      description: "Run embedding models locally on your own machine.",
+    },
   ];
 
   useEffect(() => {

frontend/src/pages/GeneralSettings/LLMPreference/index.jsx

@@ -16,6 +16,7 @@ import MistralLogo from "@/media/llmprovider/mistral.jpeg";
 import HuggingFaceLogo from "@/media/llmprovider/huggingface.png";
 import PerplexityLogo from "@/media/llmprovider/perplexity.png";
 import OpenRouterLogo from "@/media/llmprovider/openrouter.jpeg";
+import GroqLogo from "@/media/llmprovider/groq.png";
 import PreLoader from "@/components/Preloader";
 import OpenAiOptions from "@/components/LLMSelection/OpenAiOptions";
 import AzureAiOptions from "@/components/LLMSelection/AzureAiOptions";
@@ -28,11 +29,12 @@ import OllamaLLMOptions from "@/components/LLMSelection/OllamaLLMOptions";
 import TogetherAiOptions from "@/components/LLMSelection/TogetherAiOptions";
 import MistralOptions from "@/components/LLMSelection/MistralOptions";
 import HuggingFaceOptions from "@/components/LLMSelection/HuggingFaceOptions";
+import PerplexityOptions from "@/components/LLMSelection/PerplexityOptions";
+import OpenRouterOptions from "@/components/LLMSelection/OpenRouterOptions";
+import GroqAiOptions from "@/components/LLMSelection/GroqAiOptions";
 
 import LLMItem from "@/components/LLMSelection/LLMItem";
 import { MagnifyingGlass } from "@phosphor-icons/react";
-import PerplexityOptions from "@/components/LLMSelection/PerplexityOptions";
-import OpenRouterOptions from "@/components/LLMSelection/OpenRouterOptions";
 
 export default function GeneralLLMPreference() {
   const [saving, setSaving] = useState(false);
@@ -173,6 +175,14 @@ export default function GeneralLLMPreference() {
       options: <OpenRouterOptions settings={settings} />,
       description: "A unified interface for LLMs.",
     },
+    {
+      name: "Groq",
+      value: "groq",
+      logo: GroqLogo,
+      options: <GroqAiOptions settings={settings} />,
+      description:
+        "The fastest LLM inferencing available for real-time AI applications.",
+    },
     {
       name: "Native",
       value: "native",

frontend/src/pages/GeneralSettings/Security/index.jsx

@@ -141,7 +141,7 @@ function MultiUserMode() {
                       <input
                         name="username"
                         type="text"
-                        className="bg-zinc-900 text-white text-sm rounded-lg focus:border-blue-500 block w-full p-2.5 placeholder-white placeholder-opacity-60 focus:ring-blue-500"
+                        className="bg-zinc-900 text-white text-sm rounded-lg focus:border-blue-500 block w-full p-2.5 placeholder:text-white/20 focus:ring-blue-500"
                         placeholder="Your admin username"
                         minLength={2}
                         required={true}
@@ -160,7 +160,7 @@ function MultiUserMode() {
                       <input
                         name="password"
                         type="text"
-                        className="bg-zinc-900 text-white text-sm rounded-lg focus:border-blue-500 block w-full p-2.5 placeholder-white placeholder-opacity-60 focus:ring-blue-500"
+                        className="bg-zinc-900 text-white text-sm rounded-lg focus:border-blue-500 block w-full p-2.5 placeholder:text-white/20 focus:ring-blue-500"
                         placeholder="Your admin password"
                         minLength={8}
                         required={true}
@@ -303,7 +303,7 @@ function PasswordProtection() {
                       <input
                         name="password"
                         type="text"
-                        className="bg-zinc-900 text-white text-sm rounded-lg focus:border-blue-500 block w-full p-2.5 placeholder-white placeholder-opacity-60 focus:ring-blue-500"
+                        className="bg-zinc-900 text-white text-sm rounded-lg focus:border-blue-500 block w-full p-2.5 placeholder:text-white/20 focus:ring-blue-500"
                         placeholder="Your Instance Password"
                         minLength={8}
                         required={true}

frontend/src/pages/OnboardingFlow/Steps/CreateWorkspace/index.jsx

@@ -76,7 +76,7 @@ export default function CreateWorkspace({
           <input
             name="name"
             type="text"
-            className="bg-zinc-900 text-white text-sm rounded-lg block w-full p-2.5"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg block w-full p-2.5"
             placeholder="My Workspace"
             minLength={4}
             required={true}

frontend/src/pages/OnboardingFlow/Steps/CustomLogo/index.jsx

@@ -58,8 +58,6 @@ export default function CustomLogo({ setHeader, setForwardBtn, setBackBtn }) {
 
     const logoURL = await System.fetchLogo();
     _setLogo(logoURL);
-
-    showToast("Image uploaded successfully.", "success", { clear: true });
     setIsDefaultLogo(false);
   };
 
@@ -79,8 +77,6 @@ export default function CustomLogo({ setHeader, setForwardBtn, setBackBtn }) {
 
     const logoURL = await System.fetchLogo();
     _setLogo(logoURL);
-
-    showToast("Image successfully removed.", "success", { clear: true });
   };
 
   return (
@@ -123,13 +119,21 @@ export default function CustomLogo({ setHeader, setForwardBtn, setBackBtn }) {
             />
           </div>
         )}
-
+        {!isDefaultLogo ? (
           <button
             onClick={handleRemoveLogo}
             className="text-white text-base font-medium hover:text-opacity-60 mt-8"
           >
             Remove logo
           </button>
+        ) : (
+          <button
+            onClick={handleForward}
+            className="text-white text-base font-medium hover:text-opacity-60 mt-8"
+          >
+            Skip
+          </button>
+        )}
       </div>
     </div>
   );

frontend/src/pages/OnboardingFlow/Steps/DataHandling/index.jsx

@@ -13,6 +13,7 @@ import MistralLogo from "@/media/llmprovider/mistral.jpeg";
 import HuggingFaceLogo from "@/media/llmprovider/huggingface.png";
 import PerplexityLogo from "@/media/llmprovider/perplexity.png";
 import OpenRouterLogo from "@/media/llmprovider/openrouter.jpeg";
+import GroqLogo from "@/media/llmprovider/groq.png";
 import ZillizLogo from "@/media/vectordbs/zilliz.png";
 import AstraDBLogo from "@/media/vectordbs/astraDB.png";
 import ChromaLogo from "@/media/vectordbs/chroma.png";
@@ -127,6 +128,14 @@ const LLM_SELECTION_PRIVACY = {
     ],
     logo: OpenRouterLogo,
   },
+  groq: {
+    name: "Groq",
+    description: [
+      "Your chats will not be used for training",
+      "Your prompts and document text used in response creation are visible to Groq",
+    ],
+    logo: GroqLogo,
+  },
 };
 
 const VECTOR_DB_PRIVACY = {
@@ -221,6 +230,13 @@ const EMBEDDING_ENGINE_PRIVACY = {
     ],
     logo: LocalAiLogo,
   },
+  ollama: {
+    name: "Ollama",
+    description: [
+      "Your document text is embedded privately on the server running Ollama",
+    ],
+    logo: OllamaLogo,
+  },
 };
 
 export default function DataHandling({ setHeader, setForwardBtn, setBackBtn }) {

frontend/src/pages/OnboardingFlow/Steps/EmbeddingPreference/index.jsx

@@ -4,10 +4,12 @@ import AnythingLLMIcon from "@/media/logo/anything-llm-icon.png";
 import OpenAiLogo from "@/media/llmprovider/openai.png";
 import AzureOpenAiLogo from "@/media/llmprovider/azure.png";
 import LocalAiLogo from "@/media/llmprovider/localai.png";
+import OllamaLogo from "@/media/llmprovider/ollama.png";
 import NativeEmbeddingOptions from "@/components/EmbeddingSelection/NativeEmbeddingOptions";
 import OpenAiOptions from "@/components/EmbeddingSelection/OpenAiOptions";
 import AzureAiOptions from "@/components/EmbeddingSelection/AzureAiOptions";
 import LocalAiOptions from "@/components/EmbeddingSelection/LocalAiOptions";
+import OllamaEmbeddingOptions from "@/components/EmbeddingSelection/OllamaOptions";
 import EmbedderItem from "@/components/EmbeddingSelection/EmbedderItem";
 import System from "@/models/system";
 import paths from "@/utils/paths";
@@ -70,6 +72,13 @@ export default function EmbeddingPreference({
       options: <LocalAiOptions settings={settings} />,
       description: "Run embedding models locally on your own machine.",
     },
+    {
+      name: "Ollama",
+      value: "ollama",
+      logo: OllamaLogo,
+      options: <OllamaEmbeddingOptions settings={settings} />,
+      description: "Run embedding models locally on your own machine.",
+    },
   ];
 
   function handleForward() {
@@ -95,9 +104,6 @@ export default function EmbeddingPreference({
       showToast(`Failed to save embedding settings: ${error}`, "error");
       return;
     }
-    showToast("Embedder settings saved successfully.", "success", {
-      clear: true,
-    });
     navigate(paths.onboarding.vectorDatabase());
   };
 

frontend/src/pages/OnboardingFlow/Steps/LLMPreference/index.jsx

@@ -13,6 +13,7 @@ import MistralLogo from "@/media/llmprovider/mistral.jpeg";
 import HuggingFaceLogo from "@/media/llmprovider/huggingface.png";
 import PerplexityLogo from "@/media/llmprovider/perplexity.png";
 import OpenRouterLogo from "@/media/llmprovider/openrouter.jpeg";
+import GroqLogo from "@/media/llmprovider/groq.png";
 import OpenAiOptions from "@/components/LLMSelection/OpenAiOptions";
 import AzureAiOptions from "@/components/LLMSelection/AzureAiOptions";
 import AnthropicAiOptions from "@/components/LLMSelection/AnthropicAiOptions";
@@ -25,12 +26,13 @@ import MistralOptions from "@/components/LLMSelection/MistralOptions";
 import HuggingFaceOptions from "@/components/LLMSelection/HuggingFaceOptions";
 import TogetherAiOptions from "@/components/LLMSelection/TogetherAiOptions";
 import PerplexityOptions from "@/components/LLMSelection/PerplexityOptions";
+import OpenRouterOptions from "@/components/LLMSelection/OpenRouterOptions";
+import GroqAiOptions from "@/components/LLMSelection/GroqAiOptions";
 import LLMItem from "@/components/LLMSelection/LLMItem";
 import System from "@/models/system";
 import paths from "@/utils/paths";
 import showToast from "@/utils/toast";
 import { useNavigate } from "react-router-dom";
-import OpenRouterOptions from "@/components/LLMSelection/OpenRouterOptions";
 
 const TITLE = "LLM Preference";
 const DESCRIPTION =
@@ -147,6 +149,14 @@ export default function LLMPreference({
       options: <OpenRouterOptions settings={settings} />,
       description: "A unified interface for LLMs.",
     },
+    {
+      name: "Groq",
+      value: "groq",
+      logo: GroqLogo,
+      options: <GroqAiOptions settings={settings} />,
+      description:
+        "The fastest LLM inferencing available for real-time AI applications.",
+    },
     {
       name: "Native",
       value: "native",
@@ -180,7 +190,6 @@ export default function LLMPreference({
       showToast(`Failed to save LLM settings: ${error}`, "error");
       return;
     }
-    showToast("LLM settings saved successfully.", "success", { clear: true });
     navigate(paths.onboarding.embeddingPreference());
   };
 

frontend/src/pages/OnboardingFlow/Steps/Survey/index.jsx

@@ -102,7 +102,7 @@ export default function Survey({ setHeader, setForwardBtn, setBackBtn }) {
             type="email"
             placeholder="you@gmail.com"
             required={true}
-            className="mt-2 bg-zinc-900 text-white text-sm font-medium font-['Plus Jakarta Sans'] leading-tight w-full h-11 p-2.5 bg-zinc-900 rounded-lg"
+            className="mt-2 bg-zinc-900 text-white placeholder:text-white/20 text-sm font-medium font-['Plus Jakarta Sans'] leading-tight w-full h-11 p-2.5 bg-zinc-900 rounded-lg"
           />
         </div>
 
@@ -269,7 +269,7 @@ export default function Survey({ setHeader, setForwardBtn, setBackBtn }) {
           <textarea
             name="comment"
             rows={5}
-            className="mt-2 bg-zinc-900 text-white text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5"
+            className="mt-2 bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5"
             placeholder="If you have any questions or comments right now, you can leave them here and we will get back to you. You can also email team@mintplexlabs.com"
             wrap="soft"
             autoComplete="off"

frontend/src/pages/OnboardingFlow/Steps/UserSetup/index.jsx

@@ -124,8 +124,6 @@ const JustMe = ({
       return;
     }
 
-    showToast("Password set successfully!", "success", { clear: true });
-
     // Auto-request token with password that was just set so they
     // are not redirected to login after completion.
     const { token } = await System.requestToken({
@@ -245,9 +243,7 @@ const MyTeam = ({ setMultiUserLoginValid, myTeamSubmitRef, navigate }) => {
       return;
     }
 
-    showToast("Multi-user login enabled.", "success", { clear: true });
     navigate(paths.onboarding.dataHandling());
-
     // Auto-request token with credentials that was just set so they
     // are not redirected to login after completion.
     const { user, token } = await System.requestToken(data);

frontend/src/pages/OnboardingFlow/Steps/VectorDatabaseConnection/index.jsx

@@ -133,9 +133,6 @@ export default function VectorDatabaseConnection({
       showToast(`Failed to save Vector Database settings: ${error}`, "error");
       return;
     }
-    showToast("Vector Database settings saved successfully.", "success", {
-      clear: true,
-    });
     navigate(paths.onboarding.customLogo());
   };
 

frontend/src/pages/WorkspaceSettings/ChatSettings/ChatHistorySettings/index.jsx

@@ -21,7 +21,7 @@ export default function ChatHistorySettings({ workspace, setHasChanges }) {
         step={1}
         onWheel={(e) => e.target.blur()}
         defaultValue={workspace?.openAiHistory ?? 20}
-        className="bg-zinc-900 text-white text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5"
+        className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5"
         placeholder="20"
         required={true}
         autoComplete="off"

frontend/src/pages/WorkspaceSettings/ChatSettings/ChatPromptSettings/index.jsx

@@ -18,7 +18,7 @@ export default function ChatPromptSettings({ workspace, setHasChanges }) {
         name="openAiPrompt"
         rows={5}
         defaultValue={chatPrompt(workspace)}
-        className="bg-zinc-900 text-white text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 mt-2"
+        className="bg-zinc-900 placeholder:text-white/20 text-white text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 mt-2"
         placeholder="Given the following conversation, relevant context, and a follow up question, reply with an answer to the current question the user is asking. Return only your response to the question given the above information following the users instructions as needed."
         required={true}
         wrap="soft"

frontend/src/pages/WorkspaceSettings/ChatSettings/ChatTemperatureSettings/index.jsx

@@ -36,7 +36,7 @@ export default function ChatTemperatureSettings({
         step={0.1}
         onWheel={(e) => e.target.blur()}
         defaultValue={workspace?.openAiTemp ?? defaults.temp}
-        className="bg-zinc-900 text-white text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5"
+        className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5"
         placeholder="0.7"
         required={true}
         autoComplete="off"

frontend/src/pages/WorkspaceSettings/GeneralAppearance/SuggestedChatMessages/index.jsx

@@ -143,7 +143,7 @@ export default function SuggestedChatMessages({ slug }) {
             </label>
             <input
               placeholder="Message heading"
-              className=" bg-zinc-900 text-white text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block p-2.5 w-full"
+              className=" bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block p-2.5 w-full"
               value={newMessage.heading}
               name="heading"
               onChange={onEditChange}
@@ -155,7 +155,7 @@ export default function SuggestedChatMessages({ slug }) {
             </label>
             <input
               placeholder="Message"
-              className="bg-zinc-900 text-white text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block p-2.5 w-full"
+              className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block p-2.5 w-full"
               value={newMessage.message}
               name="message"
               onChange={onEditChange}

frontend/src/pages/WorkspaceSettings/GeneralAppearance/WorkspaceName/index.jsx

@@ -15,7 +15,7 @@ export default function WorkspaceName({ workspace, setHasChanges }) {
         minLength={2}
         maxLength={80}
         defaultValue={workspace?.name}
-        className="bg-zinc-900 text-white text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5"
+        className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5"
         placeholder="My Workspace"
         required={true}
         autoComplete="off"

frontend/src/pages/WorkspaceSettings/VectorDatabase/MaxContextSnippets/index.jsx

@@ -20,7 +20,7 @@ export default function MaxContextSnippets({ workspace, setHasChanges }) {
         step={1}
         onWheel={(e) => e.target.blur()}
         defaultValue={workspace?.topN ?? 4}
-        className="bg-zinc-900 text-white text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 mt-2"
+        className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 mt-2"
         placeholder="4"
         required={true}
         autoComplete="off"

server/.env.example

@@ -58,6 +58,10 @@ JWT_SECRET="my-random-string-for-seeding" # Please generate random string at lea
 # HUGGING_FACE_LLM_API_KEY=hf_xxxxxx
 # HUGGING_FACE_LLM_TOKEN_LIMIT=8000
 
+# LLM_PROVIDER='groq'
+# GROQ_API_KEY=gsk_abcxyz
+# GROQ_MODEL_PREF=llama2-70b-4096
+
 ###########################################
 ######## Embedding API SElECTION ##########
 ###########################################
@@ -76,6 +80,11 @@ JWT_SECRET="my-random-string-for-seeding" # Please generate random string at lea
 # EMBEDDING_MODEL_PREF='text-embedding-ada-002'
 # EMBEDDING_MODEL_MAX_CHUNK_LENGTH=1000 # The max chunk size in chars a string to embed can be
 
+# EMBEDDING_ENGINE='ollama'
+# EMBEDDING_BASE_PATH='http://127.0.0.1:11434'
+# EMBEDDING_MODEL_PREF='nomic-embed-text:latest'
+# EMBEDDING_MODEL_MAX_CHUNK_LENGTH=8192
+
 ###########################################
 ######## Vector Database Selection ########
 ###########################################

server/endpoints/api/system/index.js

@@ -1,5 +1,10 @@
+const { EventLogs } = require("../../../models/eventLogs");
 const { SystemSettings } = require("../../../models/systemSettings");
 const { getVectorDbClass } = require("../../../utils/helpers");
+const {
+  prepareWorkspaceChatsForExport,
+  exportChatsAsType,
+} = require("../../../utils/helpers/chat/convertTo");
 const { dumpENV, updateENV } = require("../../../utils/helpers/updateENV");
 const { reqBody } = require("../../../utils/http");
 const { validApiKey } = require("../../../utils/middleware/validApiKey");
@@ -147,6 +152,60 @@ function apiSystemEndpoints(app) {
       }
     }
   );
+
+  app.get(
+    "/v1/system/export-chats",
+    [validApiKey],
+    async (request, response) => {
+      /*
+    #swagger.tags = ['System Settings']
+    #swagger.description = 'Export all of the chats from the system in a known format. Output depends on the type sent. Will be send with the correct header for the output.'
+   #swagger.parameters['type'] = {
+      in: 'query',
+      description: "Export format jsonl, json, csv, jsonAlpaca",
+      required: false,
+      type: 'string'
+    }
+    #swagger.responses[200] = {
+      content: {
+        "application/json": {
+          schema: {
+            type: 'object',
+            example: [
+              {
+                "role": "user",
+                "content": "What is AnythinglLM?"
+              },
+              {
+                "role": "assistant",
+                "content": "AnythingLLM is a knowledge graph and vector database management system built using NodeJS express server. It provides an interface for handling all interactions, including vectorDB management and LLM (Language Model) interactions."
+              },
+            ]
+          }
+        }
+      }
+    }
+    #swagger.responses[403] = {
+      schema: {
+        "$ref": "#/definitions/InvalidAPIKey"
+      }
+    }
+    */
+      try {
+        const { type = "jsonl" } = request.query;
+        const chats = await prepareWorkspaceChatsForExport(type);
+        const { contentType, data } = await exportChatsAsType(chats, type);
+        await EventLogs.logEvent("exported_chats", {
+          type,
+        });
+        response.setHeader("Content-Type", contentType);
+        response.status(200).send(data);
+      } catch (e) {
+        console.log(e.message, e);
+        response.sendStatus(500).end();
+      }
+    }
+  );
 }
 
 module.exports = { apiSystemEndpoints };

server/endpoints/system.js

@@ -260,6 +260,21 @@ function systemEndpoints(app) {
     }
   );
 
+  app.delete(
+    "/system/remove-documents",
+    [validatedRequest, flexUserRoleValid([ROLES.admin, ROLES.manager])],
+    async (request, response) => {
+      try {
+        const { names } = reqBody(request);
+        for await (const name of names) await purgeDocument(name);
+        response.sendStatus(200).end();
+      } catch (e) {
+        console.log(e.message, e);
+        response.sendStatus(500).end();
+      }
+    }
+  );
+
   app.delete(
     "/system/remove-folder",
     [validatedRequest, flexUserRoleValid([ROLES.admin, ROLES.manager])],

server/models/systemSettings.js

@@ -219,12 +219,25 @@ const SystemSettings = {
             AzureOpenAiEmbeddingModelPref: process.env.EMBEDDING_MODEL_PREF,
           }
         : {}),
+
+      ...(llmProvider === "groq"
+        ? {
+            GroqApiKey: !!process.env.GROQ_API_KEY,
+            GroqModelPref: process.env.GROQ_MODEL_PREF,
+
+            // For embedding credentials when groq is selected.
+            OpenAiKey: !!process.env.OPEN_AI_KEY,
+            AzureOpenAiEndpoint: process.env.AZURE_OPENAI_ENDPOINT,
+            AzureOpenAiKey: !!process.env.AZURE_OPENAI_KEY,
+            AzureOpenAiEmbeddingModelPref: process.env.EMBEDDING_MODEL_PREF,
+          }
+        : {}),
       ...(llmProvider === "native"
         ? {
             NativeLLMModelPref: process.env.NATIVE_LLM_MODEL_PREF,
             NativeLLMTokenLimit: process.env.NATIVE_LLM_MODEL_TOKEN_LIMIT,
 
-            // For embedding credentials when ollama is selected.
+            // For embedding credentials when native is selected.
             OpenAiKey: !!process.env.OPEN_AI_KEY,
             AzureOpenAiEndpoint: process.env.AZURE_OPENAI_ENDPOINT,
             AzureOpenAiKey: !!process.env.AZURE_OPENAI_KEY,

server/package.json

@@ -20,7 +20,7 @@
     "seed": "node prisma/seed.js"
   },
   "dependencies": {
-    "@anthropic-ai/sdk": "^0.8.1",
+    "@anthropic-ai/sdk": "^0.16.1",
     "@azure/openai": "1.0.0-beta.10",
     "@datastax/astra-db-ts": "^0.1.3",
     "@google/generative-ai": "^0.1.3",

server/swagger/openapi.json

@@ -2232,6 +2232,72 @@
           }
         }
       }
+    },
+    "/v1/system/export-chats": {
+      "get": {
+        "tags": [
+          "System Settings"
+        ],
+        "description": "Export all of the chats from the system in a known format. Output depends on the type sent. Will be send with the correct header for the output.",
+        "parameters": [
+          {
+            "name": "Authorization",
+            "in": "header",
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "type",
+            "in": "query",
+            "description": "Export format jsonl, json, csv, jsonAlpaca",
+            "required": false,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "OK",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "object",
+                  "example": [
+                    {
+                      "role": "user",
+                      "content": "What is AnythinglLM?"
+                    },
+                    {
+                      "role": "assistant",
+                      "content": "AnythingLLM is a knowledge graph and vector database management system built using NodeJS express server. It provides an interface for handling all interactions, including vectorDB management and LLM (Language Model) interactions."
+                    }
+                  ]
+                }
+              }
+            }
+          },
+          "403": {
+            "description": "Forbidden",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/InvalidAPIKey"
+                }
+              },
+              "application/xml": {
+                "schema": {
+                  "$ref": "#/components/schemas/InvalidAPIKey"
+                }
+              }
+            }
+          },
+          "500": {
+            "description": "Internal Server Error"
+          }
+        }
+      }
     }
   },
   "components": {

server/utils/AiProviders/anthropic/index.js

@@ -1,6 +1,6 @@
 const { v4 } = require("uuid");
 const { chatPrompt } = require("../../chats");
-
+const { writeResponseChunk } = require("../../helpers/chat/responses");
 class AnthropicLLM {
   constructor(embedder = null, modelPreference = null) {
     if (!process.env.ANTHROPIC_API_KEY)
@@ -13,7 +13,7 @@ class AnthropicLLM {
     });
     this.anthropic = anthropic;
     this.model =
-      modelPreference || process.env.ANTHROPIC_MODEL_PREF || "claude-2";
+      modelPreference || process.env.ANTHROPIC_MODEL_PREF || "claude-2.0";
     this.limits = {
       history: this.promptWindowLimit() * 0.15,
       system: this.promptWindowLimit() * 0.15,
@@ -35,17 +35,29 @@ class AnthropicLLM {
 
   promptWindowLimit() {
     switch (this.model) {
-      case "claude-instant-1":
-        return 72_000;
-      case "claude-2":
+      case "claude-instant-1.2":
         return 100_000;
+      case "claude-2.0":
+        return 100_000;
+      case "claude-2.1":
+        return 200_000;
+      case "claude-3-opus-20240229":
+        return 200_000;
+      case "claude-3-sonnet-20240229":
+        return 200_000;
       default:
-        return 72_000; // assume a claude-instant-1 model
+        return 100_000; // assume a claude-instant-1.2 model
     }
   }
 
   isValidChatCompletionModel(modelName = "") {
-    const validModels = ["claude-2", "claude-instant-1"];
+    const validModels = [
+      "claude-instant-1.2",
+      "claude-2.0",
+      "claude-2.1",
+      "claude-3-opus-20240229",
+      "claude-3-sonnet-20240229",
+    ];
     return validModels.includes(modelName);
   }
 
@@ -62,36 +74,43 @@ class AnthropicLLM {
     chatHistory = [],
     userPrompt = "",
   }) {
-    return `\n\nHuman: Please read question supplied within the <question> tags. Using all information generate an answer to the question and output it within <${
-      this.answerKey
-    }> tags. Previous conversations can be used within the <history> tags and can be used to influence the output. Content between the <system> tag is additional information and instruction that will impact how answers are formatted or responded to. Additional contextual information retrieved to help answer the users specific query is available to use for answering and can be found between <context> tags. When no <context> tags may are present use the knowledge available and in the conversation to answer. When one or more <context> tags are available you will use those to help answer the question or augment pre-existing knowledge. You should never say "Based on the provided context" or other phrasing that is not related to the user question.
-    <system>${systemPrompt}</system>
-    ${contextTexts
-      .map((text, i) => {
-        return `<context>${text}</context>\n`;
-      })
-      .join("")}
-    <history>${chatHistory.map((history) => {
-      switch (history.role) {
-        case "assistant":
-          return `\n\nAssistant: ${history.content}`;
-        case "user":
-          return `\n\nHuman: ${history.content}`;
-        default:
-          return "\n";
-      }
-    })}</history>
-    <question>${userPrompt}</question>
-    \n\nAssistant:`;
+    const prompt = {
+      role: "system",
+      content: `${systemPrompt}${this.#appendContext(contextTexts)}`,
+    };
+
+    return [prompt, ...chatHistory, { role: "user", content: userPrompt }];
   }
 
-  async sendChat(chatHistory = [], prompt, workspace = {}, rawHistory = []) {
+  async getChatCompletion(messages = null, { temperature = 0.7 }) {
     if (!this.isValidChatCompletionModel(this.model))
       throw new Error(
         `Anthropic chat: ${this.model} is not valid for chat completion!`
       );
 
-    const compressedPrompt = await this.compressMessages(
+    try {
+      const response = await this.anthropic.messages.create({
+        model: this.model,
+        max_tokens: 4096,
+        system: messages[0].content, // Strip out the system message
+        messages: messages.slice(1), // Pop off the system message
+        temperature: Number(temperature ?? this.defaultTemp),
+      });
+
+      return response.content[0].text;
+    } catch (error) {
+      console.log(error);
+      return error;
+    }
+  }
+
+  async streamChat(chatHistory = [], prompt, workspace = {}, rawHistory = []) {
+    if (!this.isValidChatCompletionModel(this.model))
+      throw new Error(
+        `Anthropic chat: ${this.model} is not valid for chat completion!`
+      );
+
+    const messages = await this.compressMessages(
       {
         systemPrompt: chatPrompt(workspace),
         userPrompt: prompt,
@@ -99,58 +118,85 @@ class AnthropicLLM {
       },
       rawHistory
     );
-    const { content, error } = await this.anthropic.completions
-      .create({
-        model: this.model,
-        max_tokens_to_sample: 300,
-        prompt: compressedPrompt,
-      })
-      .then((res) => {
-        const { completion } = res;
-        const re = new RegExp(
-          "(?:<" + this.answerKey + ">)([\\s\\S]*)(?:</" + this.answerKey + ">)"
-        );
-        const response = completion.match(re)?.[1]?.trim();
-        if (!response)
-          throw new Error("Anthropic: No response could be parsed.");
-        return { content: response, error: null };
-      })
-      .catch((e) => {
-        return { content: null, error: e.message };
-      });
 
-    if (error) throw new Error(error);
-    return content;
+    const streamRequest = await this.anthropic.messages.stream({
+      model: this.model,
+      max_tokens: 4096,
+      system: messages[0].content, // Strip out the system message
+      messages: messages.slice(1), // Pop off the system message
+      temperature: Number(workspace?.openAiTemp ?? this.defaultTemp),
+    });
+    return streamRequest;
   }
 
-  async getChatCompletion(prompt = "", _opts = {}) {
+  async streamGetChatCompletion(messages = null, { temperature = 0.7 }) {
     if (!this.isValidChatCompletionModel(this.model))
       throw new Error(
-        `Anthropic chat: ${this.model} is not valid for chat completion!`
+        `OpenAI chat: ${this.model} is not valid for chat completion!`
       );
 
-    const { content, error } = await this.anthropic.completions
-      .create({
+    const streamRequest = await this.anthropic.messages.stream({
       model: this.model,
-        max_tokens_to_sample: 300,
-        prompt,
-      })
-      .then((res) => {
-        const { completion } = res;
-        const re = new RegExp(
-          "(?:<" + this.answerKey + ">)([\\s\\S]*)(?:</" + this.answerKey + ">)"
-        );
-        const response = completion.match(re)?.[1]?.trim();
-        if (!response)
-          throw new Error("Anthropic: No response could be parsed.");
-        return { content: response, error: null };
-      })
-      .catch((e) => {
-        return { content: null, error: e.message };
+      max_tokens: 4096,
+      system: messages[0].content, // Strip out the system message
+      messages: messages.slice(1), // Pop off the system message
+      temperature: Number(temperature ?? this.defaultTemp),
     });
+    return streamRequest;
+  }
 
-    if (error) throw new Error(error);
-    return content;
+  handleStream(response, stream, responseProps) {
+    return new Promise((resolve) => {
+      let fullText = "";
+      const { uuid = v4(), sources = [] } = responseProps;
+
+      stream.on("streamEvent", (message) => {
+        const data = message;
+        if (
+          data.type === "content_block_delta" &&
+          data.delta.type === "text_delta"
+        ) {
+          const text = data.delta.text;
+          fullText += text;
+
+          writeResponseChunk(response, {
+            uuid,
+            sources,
+            type: "textResponseChunk",
+            textResponse: text,
+            close: false,
+            error: false,
+          });
+        }
+
+        if (
+          message.type === "message_stop" ||
+          (data.stop_reason && data.stop_reason === "end_turn")
+        ) {
+          writeResponseChunk(response, {
+            uuid,
+            sources,
+            type: "textResponseChunk",
+            textResponse: "",
+            close: true,
+            error: false,
+          });
+          resolve(fullText);
+        }
+      });
+    });
+  }
+
+  #appendContext(contextTexts = []) {
+    if (!contextTexts || !contextTexts.length) return "";
+    return (
+      "\nContext:\n" +
+      contextTexts
+        .map((text, i) => {
+          return `[CONTEXT ${i}]:\n${text}\n[END CONTEXT ${i}]\n\n`;
+        })
+        .join("")
+    );
   }
 
   async compressMessages(promptArgs = {}, rawHistory = []) {

server/utils/AiProviders/groq/index.js

@@ -0,0 +1,207 @@
+const { NativeEmbedder } = require("../../EmbeddingEngines/native");
+const { chatPrompt } = require("../../chats");
+const { handleDefaultStreamResponse } = require("../../helpers/chat/responses");
+
+class GroqLLM {
+  constructor(embedder = null, modelPreference = null) {
+    const { Configuration, OpenAIApi } = require("openai");
+    if (!process.env.GROQ_API_KEY) throw new Error("No Groq API key was set.");
+
+    const config = new Configuration({
+      basePath: "https://api.groq.com/openai/v1",
+      apiKey: process.env.GROQ_API_KEY,
+    });
+
+    this.openai = new OpenAIApi(config);
+    this.model =
+      modelPreference || process.env.GROQ_MODEL_PREF || "llama2-70b-4096";
+    this.limits = {
+      history: this.promptWindowLimit() * 0.15,
+      system: this.promptWindowLimit() * 0.15,
+      user: this.promptWindowLimit() * 0.7,
+    };
+
+    this.embedder = !embedder ? new NativeEmbedder() : embedder;
+    this.defaultTemp = 0.7;
+  }
+
+  #appendContext(contextTexts = []) {
+    if (!contextTexts || !contextTexts.length) return "";
+    return (
+      "\nContext:\n" +
+      contextTexts
+        .map((text, i) => {
+          return `[CONTEXT ${i}]:\n${text}\n[END CONTEXT ${i}]\n\n`;
+        })
+        .join("")
+    );
+  }
+
+  streamingEnabled() {
+    return "streamChat" in this && "streamGetChatCompletion" in this;
+  }
+
+  promptWindowLimit() {
+    switch (this.model) {
+      case "llama2-70b-4096":
+        return 4096;
+      case "mixtral-8x7b-32768":
+        return 32_768;
+      default:
+        return 4096;
+    }
+  }
+
+  async isValidChatCompletionModel(modelName = "") {
+    const validModels = ["llama2-70b-4096", "mixtral-8x7b-32768"];
+    const isPreset = validModels.some((model) => modelName === model);
+    if (isPreset) return true;
+
+    const model = await this.openai
+      .retrieveModel(modelName)
+      .then((res) => res.data)
+      .catch(() => null);
+    return !!model;
+  }
+
+  constructPrompt({
+    systemPrompt = "",
+    contextTexts = [],
+    chatHistory = [],
+    userPrompt = "",
+  }) {
+    const prompt = {
+      role: "system",
+      content: `${systemPrompt}${this.#appendContext(contextTexts)}`,
+    };
+    return [prompt, ...chatHistory, { role: "user", content: userPrompt }];
+  }
+
+  async isSafe(_input = "") {
+    // Not implemented so must be stubbed
+    return { safe: true, reasons: [] };
+  }
+
+  async sendChat(chatHistory = [], prompt, workspace = {}, rawHistory = []) {
+    if (!(await this.isValidChatCompletionModel(this.model)))
+      throw new Error(
+        `Groq chat: ${this.model} is not valid for chat completion!`
+      );
+
+    const textResponse = await this.openai
+      .createChatCompletion({
+        model: this.model,
+        temperature: Number(workspace?.openAiTemp ?? this.defaultTemp),
+        n: 1,
+        messages: await this.compressMessages(
+          {
+            systemPrompt: chatPrompt(workspace),
+            userPrompt: prompt,
+            chatHistory,
+          },
+          rawHistory
+        ),
+      })
+      .then((json) => {
+        const res = json.data;
+        if (!res.hasOwnProperty("choices"))
+          throw new Error("GroqAI chat: No results!");
+        if (res.choices.length === 0)
+          throw new Error("GroqAI chat: No results length!");
+        return res.choices[0].message.content;
+      })
+      .catch((error) => {
+        throw new Error(
+          `GroqAI::createChatCompletion failed with: ${error.message}`
+        );
+      });
+
+    return textResponse;
+  }
+
+  async streamChat(chatHistory = [], prompt, workspace = {}, rawHistory = []) {
+    if (!(await this.isValidChatCompletionModel(this.model)))
+      throw new Error(
+        `GroqAI:streamChat: ${this.model} is not valid for chat completion!`
+      );
+
+    const streamRequest = await this.openai.createChatCompletion(
+      {
+        model: this.model,
+        stream: true,
+        temperature: Number(workspace?.openAiTemp ?? this.defaultTemp),
+        n: 1,
+        messages: await this.compressMessages(
+          {
+            systemPrompt: chatPrompt(workspace),
+            userPrompt: prompt,
+            chatHistory,
+          },
+          rawHistory
+        ),
+      },
+      { responseType: "stream" }
+    );
+    return streamRequest;
+  }
+
+  async getChatCompletion(messages = null, { temperature = 0.7 }) {
+    if (!(await this.isValidChatCompletionModel(this.model)))
+      throw new Error(
+        `GroqAI:chatCompletion: ${this.model} is not valid for chat completion!`
+      );
+
+    const { data } = await this.openai
+      .createChatCompletion({
+        model: this.model,
+        messages,
+        temperature,
+      })
+      .catch((e) => {
+        throw new Error(e.response.data.error.message);
+      });
+
+    if (!data.hasOwnProperty("choices")) return null;
+    return data.choices[0].message.content;
+  }
+
+  async streamGetChatCompletion(messages = null, { temperature = 0.7 }) {
+    if (!(await this.isValidChatCompletionModel(this.model)))
+      throw new Error(
+        `GroqAI:streamChatCompletion: ${this.model} is not valid for chat completion!`
+      );
+
+    const streamRequest = await this.openai.createChatCompletion(
+      {
+        model: this.model,
+        stream: true,
+        messages,
+        temperature,
+      },
+      { responseType: "stream" }
+    );
+    return streamRequest;
+  }
+
+  handleStream(response, stream, responseProps) {
+    return handleDefaultStreamResponse(response, stream, responseProps);
+  }
+
+  // Simple wrapper for dynamic embedder & normalize interface for all LLM implementations
+  async embedTextInput(textInput) {
+    return await this.embedder.embedTextInput(textInput);
+  }
+  async embedChunks(textChunks = []) {
+    return await this.embedder.embedChunks(textChunks);
+  }
+
+  async compressMessages(promptArgs = {}, rawHistory = []) {
+    const { messageArrayCompressor } = require("../../helpers/chat");
+    const messageArray = this.constructPrompt(promptArgs);
+    return await messageArrayCompressor(this, messageArray, rawHistory);
+  }
+}
+
+module.exports = {
+  GroqLLM,
+};

server/utils/EmbeddingEngines/ollama/index.js

@@ -0,0 +1,90 @@
+const { maximumChunkLength } = require("../../helpers");
+
+class OllamaEmbedder {
+  constructor() {
+    if (!process.env.EMBEDDING_BASE_PATH)
+      throw new Error("No embedding base path was set.");
+    if (!process.env.EMBEDDING_MODEL_PREF)
+      throw new Error("No embedding model was set.");
+
+    this.basePath = `${process.env.EMBEDDING_BASE_PATH}/api/embeddings`;
+    this.model = process.env.EMBEDDING_MODEL_PREF;
+    // Limit of how many strings we can process in a single pass to stay with resource or network limits
+    this.maxConcurrentChunks = 1;
+    this.embeddingMaxChunkLength = maximumChunkLength();
+  }
+
+  log(text, ...args) {
+    console.log(`\x1b[36m[${this.constructor.name}]\x1b[0m ${text}`, ...args);
+  }
+
+  async embedTextInput(textInput) {
+    const result = await this.embedChunks([textInput]);
+    return result?.[0] || [];
+  }
+
+  async embedChunks(textChunks = []) {
+    const embeddingRequests = [];
+    this.log(
+      `Embedding ${textChunks.length} chunks of text with ${this.model}.`
+    );
+
+    for (const chunk of textChunks) {
+      embeddingRequests.push(
+        new Promise((resolve) => {
+          fetch(this.basePath, {
+            method: "POST",
+            body: JSON.stringify({
+              model: this.model,
+              prompt: chunk,
+            }),
+          })
+            .then((res) => res.json())
+            .then(({ embedding }) => {
+              resolve({ data: embedding, error: null });
+              return;
+            })
+            .catch((error) => {
+              resolve({ data: [], error: error.message });
+              return;
+            });
+        })
+      );
+    }
+
+    const { data = [], error = null } = await Promise.all(
+      embeddingRequests
+    ).then((results) => {
+      // If any errors were returned from Ollama abort the entire sequence because the embeddings
+      // will be incomplete.
+
+      const errors = results
+        .filter((res) => !!res.error)
+        .map((res) => res.error)
+        .flat();
+      if (errors.length > 0) {
+        let uniqueErrors = new Set();
+        errors.map((error) =>
+          uniqueErrors.add(`[${error.type}]: ${error.message}`)
+        );
+
+        return {
+          data: [],
+          error: Array.from(uniqueErrors).join(", "),
+        };
+      }
+
+      return {
+        data: results.map((res) => res?.data || []),
+        error: null,
+      };
+    });
+
+    if (!!error) throw new Error(`Ollama Failed to embed: ${error}`);
+    return data.length > 0 ? data : null;
+  }
+}
+
+module.exports = {
+  OllamaEmbedder,
+};

server/utils/helpers/chat/convertTo.js

@@ -21,12 +21,8 @@ async function convertToCSV(preparedData) {
   return rows.join("\n");
 }
 
-async function convertToJSON(workspaceChatsMap) {
-  const allMessages = [].concat.apply(
-    [],
-    Object.values(workspaceChatsMap).map((workspace) => workspace.messages)
-  );
-  return JSON.stringify(allMessages, null, 4);
+async function convertToJSON(preparedData) {
+  return JSON.stringify(preparedData, null, 4);
 }
 
 // ref: https://raw.githubusercontent.com/gururise/AlpacaDataCleaned/main/alpaca_data.json
@@ -48,7 +44,7 @@ async function prepareWorkspaceChatsForExport(format = "jsonl") {
     id: "asc",
   });
 
-  if (format === "csv") {
+  if (format === "csv" || format === "json") {
     const preparedData = chats.map((chat) => {
       const responseJson = JSON.parse(chat.response);
       return {

server/utils/helpers/index.js

@@ -73,6 +73,9 @@ function getLLMProvider(modelPreference = null) {
     case "huggingface":
       const { HuggingFaceLLM } = require("../AiProviders/huggingface");
       return new HuggingFaceLLM(embedder, modelPreference);
+    case "groq":
+      const { GroqLLM } = require("../AiProviders/groq");
+      return new GroqLLM(embedder, modelPreference);
     default:
       throw new Error("ENV: No LLM_PROVIDER value found in environment!");
   }
@@ -92,6 +95,9 @@ function getEmbeddingEngineSelection() {
     case "localai":
       const { LocalAiEmbedder } = require("../EmbeddingEngines/localAi");
       return new LocalAiEmbedder();
+    case "ollama":
+      const { OllamaEmbedder } = require("../EmbeddingEngines/ollama");
+      return new OllamaEmbedder();
     case "native":
       const { NativeEmbedder } = require("../EmbeddingEngines/native");
       console.log("\x1b[34m[INFO]\x1b[0m Using Native Embedder");

server/utils/helpers/updateENV.js

@@ -135,7 +135,7 @@ const KEY_MAPPING = {
   },
   EmbeddingBasePath: {
     envKey: "EMBEDDING_BASE_PATH",
-    checks: [isNotEmpty, validLLMExternalBasePath, validDockerizedUrl],
+    checks: [isNotEmpty, validDockerizedUrl],
   },
   EmbeddingModelPref: {
     envKey: "EMBEDDING_MODEL_PREF",
@@ -259,6 +259,16 @@ const KEY_MAPPING = {
     checks: [isNotEmpty],
   },
 
+  // Groq Options
+  GroqApiKey: {
+    envKey: "GROQ_API_KEY",
+    checks: [isNotEmpty],
+  },
+  GroqModelPref: {
+    envKey: "GROQ_MODEL_PREF",
+    checks: [isNotEmpty],
+  },
+
   // System Settings
   AuthToken: {
     envKey: "AUTH_TOKEN",
@@ -336,6 +346,7 @@ function supportedLLM(input = "") {
     "huggingface",
     "perplexity",
     "openrouter",
+    "groq",
   ].includes(input);
   return validSelection ? null : `${input} is not a valid LLM provider.`;
 }
@@ -348,14 +359,20 @@ function validGeminiModel(input = "") {
 }
 
 function validAnthropicModel(input = "") {
-  const validModels = ["claude-2", "claude-instant-1"];
+  const validModels = [
+    "claude-instant-1.2",
+    "claude-2.0",
+    "claude-2.1",
+    "claude-3-opus-20240229",
+    "claude-3-sonnet-20240229",
+  ];
   return validModels.includes(input)
     ? null
     : `Invalid Model type. Must be one of ${validModels.join(", ")}.`;
 }
 
 function supportedEmbeddingModel(input = "") {
-  const supported = ["openai", "azure", "localai", "native"];
+  const supported = ["openai", "azure", "localai", "native", "ollama"];
   return supported.includes(input)
     ? null
     : `Invalid Embedding model type. Must be one of ${supported.join(", ")}.`;

server/utils/vectorDbProviders/chroma/index.js

@@ -7,6 +7,7 @@ const {
   getLLMProvider,
   getEmbeddingEngineSelection,
 } = require("../../helpers");
+const { parseAuthHeader } = require("../../http");
 
 const Chroma = {
   name: "Chroma",

server/yarn.lock

@@ -7,10 +7,10 @@
   resolved "https://registry.yarnpkg.com/@aashutoshrathi/word-wrap/-/word-wrap-1.2.6.tgz#bd9154aec9983f77b3a034ecaa015c2e4201f6cf"
   integrity sha512-1Yjs2SvM8TflER/OD3cOjhWWOZb58A2t7wpE2S9XfBYTiIl+XFhQG2bjy4Pu1I+EAlCNUzRDYDdFwFYUKvXcIA==
 
-"@anthropic-ai/sdk@^0.8.1":
-  version "0.8.1"
-  resolved "https://registry.yarnpkg.com/@anthropic-ai/sdk/-/sdk-0.8.1.tgz#7c7c6cb262abe3e6d0bb8bd1179b4589edd7a6ad"
-  integrity sha512-59etePenCizVx1O8Qhi1T1ruE04ISfNzCnyhZNcsss1QljsLmYS83jttarMNEvGYcsUF7rwxw2lzcC3Zbxao7g==
+"@anthropic-ai/sdk@^0.16.1":
+  version "0.16.1"
+  resolved "https://registry.yarnpkg.com/@anthropic-ai/sdk/-/sdk-0.16.1.tgz#7472c42389d9a5323c20afa53995e1c3b922b95d"
+  integrity sha512-vHgvfWEyFy5ktqam56Nrhv8MVa7EJthsRYNi+1OrFFfyrj9tR2/aji1QbVbQjYU/pPhPFaYrdCEC/MLPFrmKwA==
   dependencies:
     "@types/node" "^18.11.18"
     "@types/node-fetch" "^2.6.4"