function getVectorDbClass() { const vectorSelection = process.env.VECTOR_DB || "pinecone"; switch (vectorSelection) { case "pinecone": const { Pinecone } = require("../vectorDbProviders/pinecone"); return Pinecone; case "chroma": const { Chroma } = require("../vectorDbProviders/chroma"); return Chroma; case "lancedb": const { LanceDb } = require("../vectorDbProviders/lance"); return LanceDb; case "weaviate": const { Weaviate } = require("../vectorDbProviders/weaviate"); return Weaviate; case "qdrant": const { QDrant } = require("../vectorDbProviders/qdrant"); return QDrant; default: throw new Error("ENV: No VECTOR_DB value found in environment!"); } } function getLLMProvider() { const vectorSelection = process.env.LLM_PROVIDER || "openai"; const embedder = getEmbeddingEngineSelection(); switch (vectorSelection) { case "openai": const { OpenAiLLM } = require("../AiProviders/openAi"); return new OpenAiLLM(embedder); case "azure": const { AzureOpenAiLLM } = require("../AiProviders/azureOpenAi"); return new AzureOpenAiLLM(embedder); case "anthropic": const { AnthropicLLM } = require("../AiProviders/anthropic"); return new AnthropicLLM(embedder); case "lmstudio": const { LMStudioLLM } = require("../AiProviders/lmStudio"); return new LMStudioLLM(embedder); case "localai": const { LocalAiLLM } = require("../AiProviders/localAi"); return new LocalAiLLM(embedder); default: throw new Error("ENV: No LLM_PROVIDER value found in environment!"); } } function getEmbeddingEngineSelection() { const engineSelection = process.env.EMBEDDING_ENGINE; switch (engineSelection) { case "openai": const { OpenAiEmbedder } = require("../EmbeddingEngines/openAi"); return new OpenAiEmbedder(); case "azure": const { AzureOpenAiEmbedder, } = require("../EmbeddingEngines/azureOpenAi"); return new AzureOpenAiEmbedder(); case "localai": const { LocalAiEmbedder } = require("../EmbeddingEngines/localAi"); return new LocalAiEmbedder(); case "native": const { NativeEmbedder } = require("../EmbeddingEngines/native"); return new NativeEmbedder(); default: return null; } } function toChunks(arr, size) { return Array.from({ length: Math.ceil(arr.length / size) }, (_v, i) => arr.slice(i * size, i * size + size) ); } module.exports = { getEmbeddingEngineSelection, getVectorDbClass, getLLMProvider, toChunks, };