mirror of
https://github.com/Mintplex-Labs/anything-llm.git
synced 2024-11-14 02:20:12 +01:00
6faa0efaa8
* issue #543 support milvus vector db * migrate Milvus to use MilvusClient instead of ORM normalize env setup for docs/implementation feat: embedder model dimension added * update comments --------- Co-authored-by: timothycarambat <rambat1010@gmail.com>
123 lines
4.1 KiB
Plaintext
123 lines
4.1 KiB
Plaintext
SERVER_PORT=3001
|
|
STORAGE_DIR="/app/server/storage"
|
|
UID='1000'
|
|
GID='1000'
|
|
# JWT_SECRET="my-random-string-for-seeding" # Only needed if AUTH_TOKEN is set. Please generate random string at least 12 chars long.
|
|
|
|
###########################################
|
|
######## LLM API SElECTION ################
|
|
###########################################
|
|
# LLM_PROVIDER='openai'
|
|
# OPEN_AI_KEY=
|
|
# OPEN_MODEL_PREF='gpt-3.5-turbo'
|
|
|
|
# LLM_PROVIDER='gemini'
|
|
# GEMINI_API_KEY=
|
|
# GEMINI_LLM_MODEL_PREF='gemini-pro'
|
|
|
|
# LLM_PROVIDER='azure'
|
|
# AZURE_OPENAI_ENDPOINT=
|
|
# AZURE_OPENAI_KEY=
|
|
# OPEN_MODEL_PREF='my-gpt35-deployment' # This is the "deployment" on Azure you want to use. Not the base model.
|
|
# EMBEDDING_MODEL_PREF='embedder-model' # This is the "deployment" on Azure you want to use for embeddings. Not the base model. Valid base model is text-embedding-ada-002
|
|
|
|
# LLM_PROVIDER='anthropic'
|
|
# ANTHROPIC_API_KEY=sk-ant-xxxx
|
|
# ANTHROPIC_MODEL_PREF='claude-2'
|
|
|
|
# LLM_PROVIDER='lmstudio'
|
|
# LMSTUDIO_BASE_PATH='http://your-server:1234/v1'
|
|
# LMSTUDIO_MODEL_TOKEN_LIMIT=4096
|
|
|
|
# LLM_PROVIDER='localai'
|
|
# LOCAL_AI_BASE_PATH='http://host.docker.internal:8080/v1'
|
|
# LOCAL_AI_MODEL_PREF='luna-ai-llama2'
|
|
# LOCAL_AI_MODEL_TOKEN_LIMIT=4096
|
|
# LOCAL_AI_API_KEY="sk-123abc"
|
|
|
|
# LLM_PROVIDER='ollama'
|
|
# OLLAMA_BASE_PATH='http://host.docker.internal:11434'
|
|
# OLLAMA_MODEL_PREF='llama2'
|
|
# OLLAMA_MODEL_TOKEN_LIMIT=4096
|
|
|
|
# LLM_PROVIDER='togetherai'
|
|
# TOGETHER_AI_API_KEY='my-together-ai-key'
|
|
# TOGETHER_AI_MODEL_PREF='mistralai/Mixtral-8x7B-Instruct-v0.1'
|
|
|
|
###########################################
|
|
######## Embedding API SElECTION ##########
|
|
###########################################
|
|
# Only used if you are using an LLM that does not natively support embedding (openai or Azure)
|
|
# EMBEDDING_ENGINE='openai'
|
|
# OPEN_AI_KEY=sk-xxxx
|
|
|
|
# EMBEDDING_ENGINE='azure'
|
|
# AZURE_OPENAI_ENDPOINT=
|
|
# AZURE_OPENAI_KEY=
|
|
# EMBEDDING_MODEL_PREF='my-embedder-model' # This is the "deployment" on Azure you want to use for embeddings. Not the base model. Valid base model is text-embedding-ada-002
|
|
|
|
# EMBEDDING_ENGINE='localai'
|
|
# EMBEDDING_BASE_PATH='http://localhost:8080/v1'
|
|
# 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
|
|
|
|
###########################################
|
|
######## Vector Database Selection ########
|
|
###########################################
|
|
# Enable all below if you are using vector database: Chroma.
|
|
# VECTOR_DB="chroma"
|
|
# CHROMA_ENDPOINT='http://host.docker.internal:8000'
|
|
# CHROMA_API_HEADER="X-Api-Key"
|
|
# CHROMA_API_KEY="sk-123abc"
|
|
|
|
# Enable all below if you are using vector database: Pinecone.
|
|
# VECTOR_DB="pinecone"
|
|
# PINECONE_ENVIRONMENT=
|
|
# PINECONE_API_KEY=
|
|
# PINECONE_INDEX=
|
|
|
|
# Enable all below if you are using vector database: LanceDB.
|
|
# VECTOR_DB="lancedb"
|
|
|
|
# Enable all below if you are using vector database: Weaviate.
|
|
# VECTOR_DB="weaviate"
|
|
# WEAVIATE_ENDPOINT="http://localhost:8080"
|
|
# WEAVIATE_API_KEY=
|
|
|
|
# Enable all below if you are using vector database: Qdrant.
|
|
# VECTOR_DB="qdrant"
|
|
# QDRANT_ENDPOINT="http://localhost:6333"
|
|
# QDRANT_API_KEY=
|
|
|
|
# Enable all below if you are using vector database: Milvus.
|
|
# VECTOR_DB="milvus"
|
|
# MILVUS_ADDRESS="http://localhost:19530"
|
|
# MILVUS_USERNAME=
|
|
# MILVUS_PASSWORD=
|
|
|
|
# CLOUD DEPLOYMENT VARIRABLES ONLY
|
|
# AUTH_TOKEN="hunter2" # This is the password to your application if remote hosting.
|
|
|
|
###########################################
|
|
######## PASSWORD COMPLEXITY ##############
|
|
###########################################
|
|
# Enforce a password schema for your organization users.
|
|
# Documentation on how to use https://github.com/kamronbatman/joi-password-complexity
|
|
# Default is only 8 char minimum
|
|
# PASSWORDMINCHAR=8
|
|
# PASSWORDMAXCHAR=250
|
|
# PASSWORDLOWERCASE=1
|
|
# PASSWORDUPPERCASE=1
|
|
# PASSWORDNUMERIC=1
|
|
# PASSWORDSYMBOL=1
|
|
# PASSWORDREQUIREMENTS=4
|
|
|
|
###########################################
|
|
######## ENABLE HTTPS SERVER ##############
|
|
###########################################
|
|
# By enabling this and providing the path/filename for the key and cert,
|
|
# the server will use HTTPS instead of HTTP.
|
|
#ENABLE_HTTPS="true"
|
|
#HTTPS_CERT_PATH="sslcert/cert.pem"
|
|
#HTTPS_KEY_PATH="sslcert/key.pem"
|