perditioinc/code-graph-rag
code-graph-rag
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
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perditioinc
perditioinc • individual
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README Summary
Code Graph RAG is a Retrieval-Augmented Generation system specifically designed for analyzing and querying large multi-language codebases using knowledge graphs. It enables developers to understand, navigate, and edit complex monorepos by combining AI language models with structured code representations.
AI Dev Skills
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Retrieval-Augmented GenerationKnowledge Graph ConstructionCode Analysis and ParsingMulti-language Code UnderstandingGraph Neural NetworksNatural Language Processing for CodeAbstract Syntax Tree ProcessingVector Embeddings for CodeLarge Language Model Integration
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Retrieval-Augmented GenerationKnowledge Graph ConstructionCode Analysis and ParsingMulti-language Code UnderstandingGraph Neural NetworksNatural Language Processing for CodeAbstract Syntax Tree ProcessingVector Embeddings for CodeLarge Language Model Integration
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Recent Activity
Updated 16 days ago
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Quality
prototype- Quality
- medium
- Maturity
- prototype
Categories
Dev Tools & AutomationPrimaryFoundation ModelsRAG & RetrievalEvals & BenchmarkingNLP & TextEdge & Mobile AIOther AI / ML
PM Skills
Developer Platform
Languages
Python100.0%
Timeline
- Project created
- —
- Forked
- Mar 29, 2026
- Your last push
- 16 days ago
- Upstream last push
- 16 days ago
- Tracked since
- Mar 28, 2026
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