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OKAG
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.
Popularity
Repository stars9,147127,188Highest
7-day net stars——
Fork71811,998Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-01-282026-11-02
Maintenance notesNot verifiedUnknown
Repository created2024-09-212023-01-04
License & use
LicenseApache-2.0 · PermissiveMIT · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeUI componentsUI components
TypeFrameworks & SDKsFrameworks & SDKs
SubcategoryUI componentsUI components
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check hosted-service, model and infrastructure costs for the option you choose.
Pricing source——
First collected2026-11-032026-11-02
MetricRepository stars, not unique users or individual-skill installsRepository Stars, not unique users
LanguagePythonTypeScript
About this projectKAG 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.Provide interface components that can be added to and customized in your own codebase.
Measured at2026-11-03 08:25 UTC2026-11-02 18:45 UTC
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.