microsoft/DiskANN
A vector indexing library to bring fast, fresh and filtered search to your database
Repository profile
A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.
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Latest capture 2026-07-15 03:16
5 captures since 2026-05-25
Stars from baseline +7
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Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-15 03:16
CMakeLists.txt
c-cpp ecosystem,
4 dependencies
setup.py
python ecosystem,
1 dependency
SPTAG.sln
dotnet ecosystem,
0 dependencies
AnnService/CMakeLists.txt
c-cpp ecosystem,
1 dependency
GPUSupport/CMakeLists.txt
c-cpp ecosystem,
1 dependency
Test/CMakeLists.txt
c-cpp ecosystem,
1 dependency
Wrappers/CMakeLists.txt
c-cpp ecosystem,
4 dependencies
AnnService/packages.config
dotnet ecosystem,
0 dependencies
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A vector indexing library to bring fast, fresh and filtered search to your database
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Header-only C++/python library for fast approximate nearest neighbors
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KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.
OpenSPG is a Knowledge Graph Engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework. Core Capabilities: 1) domain model constrained knowledge modeling, 2) facts and logic fused representation, 3) natively support KAG...