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Let AI securely query private local documents with persistent memory.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP RAG Server" yet — see the docs or source repo.
Connect to the MCP RAG Server, search my local project documents for "API authentication flow," and summarize the key steps with source files.
A document-grounded answer with an authentication flow summary and cited sources.
Search my PDF, Word, and Markdown files for information about "quarterly budget adjustments" and turn it into a bullet-point summary.
A concise bullet list synthesized from multiple file formats.
Using our earlier retrieval results about client contract terms, compare differences in liability and payment conditions, and cite the sources.
A comparative analysis that uses prior context and includes document citations.
Retrieve and process docs with vector search to enrich AI responses.
Build and query vector knowledge bases for semantic search and RAG workflows.
Build private local RAG search and Q&A over personal documents.
Turn unstructured documents into a searchable knowledge base for AI agents.
Intelligent RAG tool that chooses between private knowledge and web search.
Search code and technical docs privately with local-first RAG for developers.