Verified65% confidenceFactTime unknown
Milvus adopts a storage-compute separation architecture and supports multiple vector indexing algorithms including HNSW, IVF_FLAT, and DiskANN.
3
Sources
65%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Claude Context：让AI看懂整个代码库的MCP语义搜索工具
githubzilliztech
Related Entities
Related Claims
UnverifiedHNSW 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.79% similarVerifiedMilvus is an open-source vector database that supports billion-scale vector retrieval and is suitable for production environments.75% similarUnverifiedThe tutorial selected Milvus for the vector database74% similarUnverifiedMilvus is one of the most widely used vector databases in the large model domain and can be used to persistently store vectorized document content.73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/31514API
curl https://kongchang.com/api/v1/knowledge/claims/31514MCP
get_claim(id=31514)