Unverified60% confidenceFactExact time
HNSW achieves logarithmic-time retrieval by constructing a multi-layer nearest-neighbor graph, and has become the default index type for mainstream vector databases such as Milvus and Qdrant.
2
Sources
60%
Confidence
Long-term
Relevance
7/5/2026
First Seen
Sources
Programmers Pivoting to AI: Opportunities in Application Development and Pitfalls to Avoid
bilibili码士集团-Java技术库6/5/2026
Related Claims
UnverifiedHNSW (Hierarchical Navigable Small World) builds a multi-layer graph structure with a query time complexity of approximately O(log n), and is the default index for mainstream vector libraries such as Qdrant and Weaviate79% similarVerifiedMilvus adopts a storage-compute separation architecture and supports multiple vector indexing algorithms including HNSW, IVF_FLAT, and DiskANN.79% similarVerifiedVector 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.78% similarUnverified主流向量数据库如Milvus、Qdrant、Weaviate在超大规模场景下采用HNSW、IVF-PQ等ANN近似最近邻算法加速检索，会引入一定召回损失78% similar
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