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One opportunity is if you have a tool call fetch data from an API endpoint you are building out. Then you could do RAG there and return data, which the LLM should then use for inference. |
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Yes, RAG could be represented either through resource templates or tools. MCP can also be useful to standardize RAG ingest in addition to retrieval. We haven't yet felt the need for any specific RAG-related features in the spec or SDKs, but if you think some are necessary, we'd love to hear more. |
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I've been having a hard time understanding how RAG is supposed to work with MCP. My best guess is that a server that facilitates RAG would expose one resource template like
Is this how one would do RAG through MCP? I didn't see any reference to RAG in the documentation. I would have expected to find some given that
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