Qdrant

Qdrant is a vector database and similarity search engine. It stores points, which are vectors plus an attached payload, and exposes an API to store, search and manage them. That makes it a building block for semantic search, recommendations, image search and other applications that rely on embeddings from neural networks.

A key selling point is extended filtering support, so a vector query can be combined with conditions on the payload, which is useful for faceted search and matching. The engine is written in Rust and the maintainers point to benchmarks for its speed and reliability under load. Topics mention HNSW indexing and nearest-neighbor search, and there are client libraries, demo projects, integrations and a collection of agent skills that bring vector search into AI coding assistants.

Qdrant is Apache-2.0 licensed and can run on your own infrastructure. It is also available as the fully managed Qdrant Cloud, which includes a free tier. Teams building retrieval-augmented generation, recommendation and similarity features use it as the storage and retrieval layer for their embeddings.