RAG & Knowledge Systems · Open-source AI Projects on GitHub
A fact-based index of LLM, agent, MCP, RAG and AI development projects, with license, setup, download, screenshots and related resources for each entry.
A lightweight, graph-based retrieval-augmented generation (RAG) framework that uses a dual-layer architecture combining knowledge graphs and vector embeddings to deliver efficient indexing, low-cost incremental updates, and high-quality contextual retrieval.
A template for building AI chatbots and document management systems using Retrieval-Augmented Generation (RAG), vector search, and FastAPI, designed for deployment on Kubernetes.