Verified80% confidenceFactTime unknown
Vector databases (such as ChromaDB, Milvus, and Pinecone) use indexing algorithms such as HNSW and IVF to achieve millisecond-level retrieval among millions or even hundreds of millions of vectors.
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80%
Confidence
Long-term
Relevance
6/1/2026
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Unverified向量数据库使用HNSW或IVF等ANN索引结构，可在毫秒级延迟内从数十亿向量中召回语义相关文档83% similarVerifiedMainstream vector databases include Faiss, Milvus, Qdrant, and Weaviate, which can complete Approximate Nearest Neighbor (ANN) searches over millions of vectors in milliseconds.82% similarVerified常见的向量数据库包括ChromaDB、Milvus、Pinecone、Weaviate，它们针对高维向量的近似最近邻（ANN）搜索进行了专门优化82% similarUnverifiedPinecone, Milvus, and Chroma are vector databases whose retrieval algorithms, such as HNSW approximate nearest neighbor search, can find the most semantically similar content from millions of records in milliseconds.80% similar
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