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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.

Python Apache-2.0 master Stack scanned README.md
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Stars
8,902
Forks
694
Watchers
73
Issues
173
Commits
1,261
Awesome lists
2

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Latest capture 2026-07-15 03:16

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0 0.0%
Commit velocity, last 7 days
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+124
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6 captures since 2026-05-25

Stars from baseline +124

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Detected stack

Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.

Scanned 2026-07-15 03:16

Stack signals
2
Package managers
3
Manifest files
5
Dependencies
79

Frameworks and tools

  • pytest test framework · high confidence
  • Starlette web framework · medium confidence
PEP 517 pip uv python

Dependency files

5 manifests
  • requirements.txt python ecosystem, 55 dependencies
  • setup.cfg python ecosystem, 0 dependencies
  • setup.py python ecosystem, 0 dependencies
  • kag/examples/baidu_map_mcp/pyproject.toml python ecosystem, 0 dependencies
  • kag/examples/baidu_map_mcp/uv.lock python ecosystem, 24 dependencies

Classification

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Topics
5
Tags
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Topics

#knowledge-graph #large-language-model #logical-reasoning #multi-hop-question-answering #trustfulness

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pytest Starlette

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Metadata

Language
Python
License
Apache-2.0
Default branch
master
Created
2024-09-21
First commit
2024-09-21
Last pushed
2026-01-28
GitHub updated
2026-07-15
Last synced
2026-07-15 03:16
Stack detected
2026-07-15 03:16
Archived
no

Links and files

GitHub Website

https://spg.openkg.cn/en-US

README

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