LightRAG
RAG framework that builds a knowledge graph from documents, enabling retrieval at both local (specific facts) and global (thematic) levels. Outperforms naive RAG on complex questions requiring reasoning across multiple document sections. EMNLP 2025.
Qdrant
Rust-based vector database optimized for filtering. Supports named vectors, payloads, and hybrid search. Self-hostable or cloud.