Qdrant

Open-source vector database built in Rust for high-performance similarity search with advanced filtering. Key differentiator is single-stage HNSW filtering, native hybrid search (dense + sparse vectors), and multivector support with quantization up to 64x memory reduction. Best suited for production RAG pipelines, AI agents with persistent memory, and large-scale semantic search.