向量智搜引擎
原名：qdrant
Vector search engine for production RAG systems.
- 分类
- 开发提效
- 版本
- v1.0.1
- 作者
- 弈韬(@ra1nzzz)
- 下载
- 1
- 收藏
- 0
- 发布
- 2026-08-25
- 更新
- 2026-09-15
- TRACE 评分
- 3.6 / 5
内容概览
High-performance vector database written in Rust for production RAG and semantic search. Use Qdrant when: - Building production RAG systems requiring low latency - Need hybrid search (vectors + metadata filtering) - Require horizontal scaling with sharding/replication - Want on-premise deployment with full data control - Need multi-vector storage per record (dense + sparse) - Building real-time recommendation systems Key features: - Rust-powered : Memory-safe, high performance - Rich filtering : Filter by any payload field during search - Multiple vectors : Dense, sparse, multi-dense per point - Quantization : Scalar, product, binary for memory efficiency - Distributed : Raft consensus, sharding, replication - REST + gRPC : Both APIs with full feature parity Use alternatives instead: - Chroma : Simpler setup, embedded use cases - FAISS : Maximum raw speed, research/batch processing - Pin…