qdrant/qdrant: Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Qdrant is a Rust-based vector database and similarity search engine for AI applications.
It stores and searches vectors along with additional JSON payloads, with strong support for filtering.
It is designed for semantic matching, faceted search, recommendations, and other neural-network-based use cases.
Qdrant offers a production-ready service with REST and gRPC APIs.
It supports dense, sparse, and multivector search, including late-interaction models like ColBERT.
Hybrid search combines semantic and keyword signals using fusion strategies such as RRF and DBSF.
Built-in vector quantization can reduce RAM usage by up to 97% while trading off speed and precision.
Qdrant supports distributed deployment with sharding, replication, and zero-downtime collection resizing.
Qdrant Cloud provides a fully managed version of the database, including a free tier.
Qdrant Edge runs inside the application process for low-latency, offline, resource-constrained environments.

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