RAG & sistem pengetahuan · Proyek AI sumber terbuka di GitHub
Indeks berbasis fakta untuk proyek pengembangan LLM, agen, MCP, RAG, dan AI, dengan lisensi, pengaturan, unduhan, tangkapan layar, dan sumber daya terkait untuk setiap entri.
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.
An open-source, developer-friendly embedded retrieval library and multimodal AI lakehouse designed for fast, scalable, and production-ready vector search, built on the Lance columnar format.
