A Quick Intro I recently built a local RAG agent that reads a bunch of documents stored as...
A developer built a RAG agent with a 5-stage pipeline that indexes markdown and answers questions using local AI models. For IT leaders: RAG systems reduce cloud costs and privacy risks while enabling proprietary knowledge copilots with full control.
A Quick Intro
I recently built a local RAG agent that reads a bunch of documents stored as markdown files and lets you ask questions about them in plain English. It goes through all the documents and figures out an answer based on what's actually in them.
The Architecture
Here's a high-level look at the 5-stage pipeline it uses:
Your Markdown Files
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