Qdrant is a vector similarity search engine built from the ground up in Rust for maximum performance and reliability. It provides an API for storing, searching, and managing vectors with rich payload data, making it ideal for production AI applications that need both semantic search and structured data filtering.
Key technical strengths include quantization support (scalar, product, binary) for memory efficiency, HNSW indexing with configurable parameters, multitenancy support, and the ability to filter by payload conditions during vector search without post-filtering overhead. The Rust foundation provides predictable latency and memory safety.
Qdrant is open source under the Apache 2.0 license. Self-hosted deployment is completely free. Qdrant Cloud offers managed hosting with a 1GB free tier and usage-based pricing for larger deployments.