RAG & Wissen
graphrag
Microsoft's graph-based RAG: index a corpus into a knowledge graph, then query it with an LLM
★ 36,3 Tsd. SterneMIT
Anleitung ansehen →code-graph-rag ist ein Open-Source-Projekt aus der Kategorie RAG & Wissen von vitali87 (vitali87/code-graph-rag auf GitHub). Es hat 5.238 Sterne auf GitHub und 699 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 8. Oktober 2026 auf GitHub aktualisiert.
RAG for your monorepo: query, understand and edit multi-language codebases with a knowledge graph.
Decide what you need: understanding a monorepo, finding dead code, tracing behavior, or safe automated edits.
Install code-graph-rag with the Tree-sitter and semantic extras via uv or pipx.
Start the packaged daemon, then parse your repository into the graph.
Query the codebase in natural language and inspect the grounded, graph-backed answer.
Parses source with Tree-sitter into AST-level graph structure — functions, classes, calls and references — stored in Memgraph.
Asks questions in plain language; an AI model generates Cypher against the graph and answers grounded in the real structure.
Edit code through the agent with AST-based patching and a diff preview before anything changes.
Finds dead code by walking call and reference edges from entry points, and searches/rewrites by AST pattern with ast-grep.
cgr trace merges actually-executed calls (test runs or production eBPF profiles) into the graph, exposing dynamic dispatch static analysis cannot see.
Exposes the graph to MCP-compatible agents, with incremental indexing that keeps the graph current as code changes.
Clone Code-Graph-RAG if you want the source; most users install the tool.
git clone https://github.com/vitali87/code-graph-rag.git
cd code-graph-ragInstall the packaged tool with full Tree-sitter language support and semantic search.
uv tool install "code-graph-rag[treesitter-full,semantic]"Start the packaged Memgraph + Qdrant stack, parse your repo into the graph, and start querying.
cgr daemon up
cgr start --repo-path /path/to/repo --update-graphIt is maintained by vitali87 and contributors, with enterprise services offered around the open-source core.
Yes — the tool is MIT licensed and runs locally; enterprise cloud and on-premise services are optional paid offerings.
Querying uses an AI model to generate Cypher, so you need access to a model provider you configure; the indexing itself is local.
Search tools return chunks; Code-Graph-RAG builds a structural knowledge graph you can traverse — call edges, references, runtime traces — and edit through, at the cost of a heavier indexing stack.
Install with uv, run cgr daemon up, and index your repo with cgr start --repo-path.
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.