Repo GraphRAG FAQs

Question 1

Does Repo GraphRAG support incremental updates for its knowledge graph?

Accepted Answer

Yes, Repo GraphRAG supports incremental updates. When you rerun the graph creation, only files that have changed, been added, or deleted are reanalyzed, significantly speeding up the update process.

Question 2

Which programming languages are supported for knowledge graph extraction?

Accepted Answer

Repo GraphRAG supports knowledge graph extraction for 12 programming languages, including popular ones like Python, C++, Java, and JavaScript, ensuring broad compatibility for various projects.

Question 3

Can Repo GraphRAG assist with generating implementation plans for code modifications?

Accepted Answer

Absolutely. The `graph_plan` tool utilizes the repository's knowledge graph to generate detailed implementation plans and concrete, step-by-step instructions for modification or addition requests, streamlining your development workflow.

Question 4

What is Repo GraphRAG and its primary function?

Accepted Answer

Repo GraphRAG is an MCP server that uses LightRAG and Tree-sitter to build a comprehensive knowledge graph from your code and documentation. It leverages this graph for intelligent Q&A and detailed implementation planning within a repository.

Question 5

What are the main features of Repo GraphRAG?

Accepted Answer

Key features include building and incrementally updating a repository knowledge graph, generating detailed implementation plans with concrete change steps, answering complex questions about the codebase, and intelligent entity merging based on semantic similarity. It supports 12+ programming languages.

Repo GraphRAG

Repo GraphRAG

Características Principales

Casos de Uso

Características Principales

Casos de Uso