An open-source Retrieval-Augmented Generation (RAG) engine that supports graph-based task orchestration, hybrid search, and advanced retrieval strategies for complex question answering.

A database designed specifically for RAG, providing dense and sparse vector search, full-text search, range filtering, and tensor-based reranking for multi-modal retrieval.