Milvus 一个库搞定语义搜索、全文搜索和元数据过滤，还能混合检索重排序，开源免费，做 RAG 的可以试试。
Milvus 是 Apache 2.0 许可的开源向量数据库。它支持密集检索（语义向量）和稀疏检索（BM25 全文搜索及学习型稀疏嵌入）。混合搜索可同时检索密集和稀疏向量并重排序。提供 HNSW、IVF、FLAT、SCANN、DiskANN 等多种索引类型。部署支持 Milvus Lite、单机 Standalone 或 Kubernetes 原生分布式架构。
Semantic search, full-text search, metadata filtering, and hybrid retrieval in one open-source syste...
Semantic search, full-text search, metadata filtering, and hybrid retrieval in one open-source system. Thanks to @DanKornas for sharing this clear overview of Milvus and the use cases it supports. Dan Kornas @DanKornas Need one retrieval layer for semantic search, full-text search, and metadata filtering? Milvus is an open-source vector database for AI engineers building RAG, semantic search, multimodal search, and recommendation systems. It helps you organize and search unstructured data by storing vectors alongside scalar fields, then combining vector search with metadata filters, full-text search, or hybrid retrieval. Key features: • Dense and sparse retrieval – supports semantic vectors, BM25 full-text search, and learned sparse embeddings. • Hybrid search – stores dense and sparse vectors together and can rerank results from multiple searches. • Multiple index types – includes HNSW, IVF, FLAT, SCANN, DiskANN, and quantized variants. • Flexible deployment – runs as Milvus Lite, on one machine in Standalone mode, or in a distributed, Kubernetes-native architecture. • Access controls – includes user authentication, TLS encryption, and role-based access control. It’s open-source (Apache 2.0 license). Link in the reply 👇 🔗 View Quoted Tweet 💬 0 🔄 0 ❤️ 1 👀 23 ⚡