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Search and edit Markdown wiki knowledge with RAG-powered retrieval and updates.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Project RAG wiki" yet — see the docs or source repo.
Search Project RAG wiki for "authentication flow", summarize the login, authorization, and error-handling rules in existing docs, and list the related pages.
Returns relevant wiki pages, key information summaries, and a structured recap of the authentication flow rules.
Read the "API specification" content in Project RAG wiki and turn it into a concise checklist covering request formats, response fields, and common error codes.
Outputs a clear documentation checklist that makes the API specification easy to understand quickly.
Append today’s release notes to the "Release Log" page in Project RAG wiki, including version number, change summary, rollback plan, and owner.
Appends the new release information to the target wiki page in the requested structure while preserving existing content.
Search and add traceable RAG knowledge for each project workspace.
Build and query vector knowledge bases for semantic search and RAG workflows.
Ingest documents and query them with natural-language semantic search.
Retrieve and process docs with vector search to enrich AI responses.
Index documents and retrieve knowledge via keyword and vector search over MCP.
Let AI securely query private local documents with persistent memory.