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OpenSPG / KAG

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.

Repository stars
9,147All-time #6,041
Fork
718
Last push
updated 9 months ago
Repository created
since 2024
Frameworks & SDKsUI componentsPythonApache-2.0 · Permissive
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About

Summarised by AI from the README; the original prevails

Author description: 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.

Basic listing based on official public information; functionality has not been independently evaluated.

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Star trend

Includes values estimated from GitHub history
9,0719,1099,14710-0710-1210-1710-2210-2711-0111-05

First collected 2026-11-03Measured at 2026-11-03 08:25 UTCSourceLicense source

Compiled from public project information; not independently tested. · Repository stars, not unique users or individual-skill installs · License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited.