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chensyCN / LogicRAG

Source code of LogicRAG at AAAI'26.

Why this job: topics: rag, graphrag

System Architecture

What it does

  • ❶ Logic Dependency Analysis. Convert complex questions into logical dependency graphs for planning multi-step retrieval.
  • ❷ Graph Reasoning Linearization. Linearize complex graph reasoning into sequential subproblem solution while maintaining logic-coherence.
  • ❸ Efficiency. Efficient scheduling via graph pruning, and context-length optimization via rolling memory.
  • ❹ Interpretable Results. Provides clear reasoning paths and dependency analysis for better explainability.

Get started

pip install -r requirements.txt
Maintenance
Active
Last commit 3 months ago
Stars
241
On GitHub
Licence
GPL-3.0
Share-alike terms
Downloads for
None listed
No release files
Latest version
None yet
No releases
Built with
Python
100% of the code

Is it looked after?

Contributors
0
Last 90 days
Issues
100% closed
0 still open
Pull requests
0 merged
1 waiting
Releases
None
Never published
  • No contributing guide
  • No security policy
  • No code of conduct

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More: languages, topics and project record

Languages

  • Python 100%

Topics

  • agentic-rag
  • graphrag
  • llms
  • rag

Project record

  • JobRAG and search
  • StatusListed
  • Commits43
  • Forks37
  • Watching8
  • Stars in 28 days+3
  • CreatedApr 7, 2025
  • First seen by usNov 7, 2026
  • CheckedNov 7, 2026

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