Qdrant
Vector search engine with first-class filtering
- Open source
- Vector Databases
What it is
Qdrant is a vector search engine written in Rust that pairs HNSW indexing with a filterable payload store, applying metadata conditions during the search rather than discarding results afterwards. Vector quantisation and on-disk storage let you trade recall against memory footprint deliberately. It ships as a single binary, a container, or managed cloud.
Best for
Filtered vector search at scale, where predicate performance and memory cost are the constraints that bite first.
Where it falls short
It is a specialised store, so you still need a primary database and a pipeline that keeps the two consistent.
Characteristics
- hnsw
- payload-filtering
- quantisation
- rust
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More in Vector Databases
Other tools solving the same problem, so you can see what Qdrant is actually competing with.
Pinecone
FreemiumManaged vector database
pgvector
Open sourceVector similarity search inside PostgreSQL
Weaviate
Open sourceOpen-source vector database with hybrid search