Qdrant

Vector search engine for scalable similarity search.

Qdrant offers a vector search engine with APIs for real-time indexing, hybrid search, and metadata filtering.1 save · qdrant.tech
Qdrant - Vector Search Engine

Qdrant operates as a vector search engine built entirely in Rust, designed for scalable similarity search. It runs on various deployment models including on-prem, hybrid, and cloud environments.

  • Rust-based engine: built in Rust for high performance and low latency.
  • Hybrid search model: combines dense and sparse vector search in a single query.
  • Real-time indexing: indexes new data instantly without full index rebuilds.
  • Memory-efficient storage: stores billions of vectors with minimal memory usage.
  • API-driven architecture: integrates with REST, gRPC, and official clients for various languages.

Free and open source; Enterprise solutions available for custom deployments. 30k+ GitHub stars; trusted by companies like Slack and Adobe.

Qdrant is ideal for developers and data scientists building AI-driven applications that require fast and scalable vector search capabilities. Suitable for industries like e-commerce and healthcare where real-time data retrieval is critical.

Saves1
First saved bySSelçuk Sevinç
In collections
Alternatives to PineconeOpen Source Vector DatabaseSearch Infrastructure for Modern Apps