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Connect a local GraphRAG knowledge base for private offline document retrieval.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "graphrag-local" yet — see the docs or source repo.
Search my local GraphRAG knowledge base for "vector database indexing optimization," then summarize related notes, code snippets, and paper findings into 5 key points.
A structured summary of relevant content retrieved from the local knowledge base.
Add this project design document to the local GraphRAG knowledge base and tell me whether it was indexed successfully and what topics can be retrieved later.
Confirmation of document ingestion and indexing status, plus the retrievable knowledge scope.
Check the current status of local GraphRAG, LightRAG, and Ollama. If any component is not ready, explain possible causes and troubleshooting steps.
A status report for each component with clear diagnostics and troubleshooting guidance.
Search local Markdown notes offline with hybrid semantic and keyword retrieval.
Search codebases semantically and find relevant snippets with source locations.
Query, understand, and edit large multilingual codebases with AI knowledge graphs.
Query Claude Code usage and costs with natural-language spend analysis insights.
Turn code into an interactive graph for exploration, search, and Q&A.
Search past Claude Code chats to recover facts, decisions, and context.