The Retrieval-Augmented Generation (RAG) module contains document processing and embedding utilities.
RAG (Retrieval-Augmented Generation) project initializer for Queen Claude ecosystem
Dead simple RAG integration for React apps with OAuth authentication and custom scopes
Common elements used by MongoDB Chatbot Framework components.
A complete Retrieval-Augmented Generation system using pgvector, LangChain, and LangGraph for Node.js applications with dynamic embedding and model providers, structured data queries, and chat history - supports OpenAI, Anthropic, HuggingFace, Azure, Goog