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Run local RAG-like web search and feed context to models without APIs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-local-rag" yet — see the docs or source repo.
Use mcp-local-rag to search for "vector database trends in 2024," summarize 5 key findings, and include the source link for each.
A web-backed summary with source links that can be used directly as model context.
Use mcp-local-rag to search for "embedding selection advice for local RAG systems," compare 3 common options, and explain their pros, cons, and use cases.
A web-grounded comparison of options to help evaluate technical choices quickly.
Search with mcp-local-rag for "best practices for open-source MCP servers" and organize references by implementation style, deployment needs, and use cases.
A well-organized list of research references for further reading and synthesis.
Search code and technical docs privately with local-first RAG for developers.
Let AI securely query private local documents with persistent memory.
Index local documents and run hybrid semantic-keyword search on-device.
Intelligent RAG tool that chooses between private knowledge and web search.
Build private local RAG search and Q&A over personal documents.
Index documents and retrieve relevant context for better LLM responses.