Code Graph RAG
vitali87/code-graph-rag
Graph-RAG agent for codebases — retrieve via code graphs, not only chunk search. GitHub: vitali87/code-graph-rag (~3.2k stars).
GitHub repository
Overview
Code Graph RAG (vitali87/code-graph-rag) is listed in LimeDock Directories as an AI agent resource. Graph-RAG agent for codebases — retrieve via code graphs, not only chunk search. Group: browser-research. Community size: ~3.2k GitHub stars. Repo (copy/paste): https://github.com/vitali87/code-graph-rag This page is a plain-English guide so searches for the GitHub project can land on how teams actually use it.
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Link
Installation guide
Open the GitHub repository, then follow the README for your stack.
Official GitHub repository: https://github.com/vitali87/code-graph-rag GitHub path: vitali87/code-graph-rag
How to open it: 1. Copy: https://github.com/vitali87/code-graph-rag 2. Clone or follow the README for your OS/stack. 3. Start with the smallest example before production use.
How to use it
**Simple example** Repo RAG feels dumb; you want graph-aware code retrieval for agents.
1. Clone code-graph-rag. 2. Index a medium repo. 3. Ask architecture questions; compare to plain vector RAG.
Example prompts
- “Index our service with code-graph-rag and ask for auth flow.”
- “When does graph RAG beat chunk RAG?”
- “Keep the index fresh in CI?”
Use cases and examples
- Evaluate vitali87/code-graph-rag as an AI agent building block
- Pilot Code Graph RAG on one staging workflow
- Compare against agents you already pay for
- Document a team playbook after the pilot
Prerequisites
- Repo access
- Compute for indexing
Tips
- Reindex on main merges.
- Start with one service.