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Intelligent RAG tool that chooses between private knowledge and web search.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Agentic RAG MCP Server" yet — see the docs or source repo.
Use Agentic RAG to decide whether to search the private knowledge base first, then answer: What are the rate limiting rules for our payment service API? If the knowledge base lacks the answer, supplement with web sources and cite them.
A knowledge-base-first answer, supplemented by web information if needed, with source citations.
Compare our internal RAG deployment approach with current public best practices. Automatically choose between the private knowledge base and web search, then output differences, risks, and improvement suggestions.
A comparative analysis combining internal and external sources, including recommendations and risks.
Answer this: Why did we adjust our recommendation system strategy last year? First decide whether to search internal meeting notes, product docs, or web sources, then provide a concise summary.
A concise explanation that prioritizes internal context and adds external context when necessary.
Turn unstructured documents into a searchable knowledge base for AI agents.
Let AI securely query private local documents with persistent memory.
Index documents and retrieve relevant context for better LLM responses.
Expose modular retrieval and reasoning tools to AI assistants through MCP.
Centralize knowledge, run semantic search, ingest documents, and generate RAG answers.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.