Open SourceRAG26k
Qdrant
Rust-built vector search engine with low-latency filtered search.
Qdrant is a vector similarity search engine and database written in Rust, exposed over REST and gRPC APIs. It supports filtered vector search with rich payload metadata, quantization for memory efficiency, distributed deployment, and hybrid/sparse-vector search. It is known for high performance and production scalability as a dedicated vector store.
Repository
qdrant/qdrantLanguage
RustWhat you'd build with it
- Serving low-latency, filtered semantic search over large embedding collections in production RAG systems
- Powering recommendation or similarity matching where vector search must be combined with structured metadata filters
- Running a self-hosted, horizontally scalable vector backend for agent memory or document retrieval
Tags
vector-dbsearchrust