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The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs

2,268 starsPython

Code-Graph-RAG – Knowledge graph RAG for any codebase

by vitali87·Mar 1, 2026·1 point·1 comment

AI Analysis

●●SolidBig BrainSolve My Problem

Knowledge graph RAG for code when Cursor and Cody already own this space.

Strengths
  • Multi-language tree-sitter parsing with semantic search via UniXcoder embeddings.
  • MCP server integration bridges Claude Code directly to your codebase.
  • Comprehensive knowledge graph captures function, class, and module relationships.
Weaknesses
  • Crowded category: Cursor, Continue, Sourcegraph Cody solve the same problem.
  • No concrete performance benchmarks vs. existing vector-RAG code tools.
Target Audience

Backend developers, DevOps engineers, teams managing large monorepos

Similar To

Sourcegraph Cody · Cursor · Continue IDE

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