Building a RAG Pipeline From Scratch — Part 2: Building Ingestion Layer
Code: https://github.com/PeterChebanov/ai_s...
git clone https://github.com/PeterChebanov/ai_s...
cd ai_support_copilot && git checkout ep02
(use the tag that matches this episode: ep01, ep02, …)
Part 2 of the series where we build a real AI assistant step by step — no fluff, just the actual code and decisions.
This episode: how do you take a messy document and turn it into something an AI can actually search and understand? We build the ingestion engine — the part of the system that reads your files, breaks them into meaningful pieces, turns them into "meaning vectors," and stores them so they can be found later by intent, not just keywords.
You'll see the whole thing running live: files going in from the terminal and through an API, landing in a real database, ready to be searched.
If you're building your own AI assistant, a support bot, or just want to understand how these systems really work under the hood — this is the episode that shows the foundation everything else sits on.
Next episode: we make it searchable.