@mastra/rag
The Retrieval-Augmented Generation (RAG) module contains document processing and embedding utilities.
@atlas0321/ollama-ui
Modern desktop chat interface for Ollama with RAG, code canvas, tool calling, and advanced thinking modes
rag-system-pgvector
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
quick-rag
⚡ Quick RAG - Production-ready local AI with Ollama & LM Studio SDK integration + Document Loaders (PDF, Word, Excel, PowerPoint) + Function-based Filters + Query Explainability + Dynamic Prompts + Decision Engine