The Problem You want to feed documentation into your RAG pipeline, but web scraping gives...
The Problem
You want to feed documentation into your RAG pipeline, but web scraping gives you a mess of navigation, sidebars, cookie banners, and broken formatting mixed with actual content. You spend hours cleaning up HTML before you can even start building your knowledge base.
The Solution
I built an automated extraction + chunking pipeline that converts any documentation site into clean, structured markdown ready for your vector store.
Step 1: Extract and Chunk the Docs
Three weeks ago I needed a way to query a large document corpus without sending everything to an LLM...
Build a RAG pipeline from scratch: chunking, embeddings, retrieval, reranking, grounded generation, and the production patterns…
Create a Retrieval‑Augmented Generation pipeline that answers questions from your private data without writing code
How to Build Systems That Actually Know Your Data (Not Hallucinate About It) ...
It started innocently enough. I needed a way to let my team ask questions about our sprawling...
Introduction Here is a scenario many RAG builders know well, you wire up a pipeline, load...
