Vibe Coding Discoverqdrant
View on GitHubQdrant - 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-written, production-ready vector database and similarity search engine with REST/gRPC APIs, filtering, hybrid search, quantization, and sharding. It's a common retrieval backend for RAG, semantic search, recommendations, and image search.
Use Cases
Semantic text search over embeddingsRAG retrieval backend for LLM appsImage similarity searchHybrid keyword + vector search with RRF/DBSFRecommendation engines from positive/negative examplesExtreme multi-label classification for e-commerceFaceted and filtered search on JSON payloadsMultitenant vector storage for SaaSOn-disk / quantized large-scale indexesEdge/offline vector search via Qdrant Edge
Built With
- Language
- Rust
- Frameworks
- Qdrant Client (Python) · qdrant-js · go-client · rust-client · Java client · .NET client · LangChain · LlamaIndex · OpenAPI 3.0 · gRPC · Docker
Tags
vector-database · vector-search · similarity-search · embeddings · hybrid-search · hnsw · quantization · filtering · multivector · sparse-vectors · semantic-search · recommendation · multitenancy · sharding-replication · gpu-indexing · rest-grpc-api