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> you just point it at your database

Ok, but what if you're dealing with thousands of PDFs? I thought that was the whole point (or at least, killer feature) of RAG.

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I think in that case, you would still need RAG - I can't imagine someone is going to build an MCP server to a folder of docs and even if they did, it would still need to index them, extract data etc. BUT if you were feeding your Confluence pages into RAG, then that's probably not worth doing anymore (because there is an MCP server for that).

In short, MCP servers won't make RAG obsolete, but the number of use cases is definitely lower than it was without it.

Those PDFs need to be indexed before their relevant bits can be Retrieved for Augmented Generation. So, usually a database.

Isn't that indexing part of RAG? I've been always read about RAG as a two step process, creating and maintaining the vector database, and then using that database to feed the AI.

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