This is a story about "getting RAG right" — not a demo, but a production system under real business...
This is a story about "getting RAG right" — not a demo, but a production system under real business pressure, with real failures and real data.
Why I'm Writing This Series
There's no shortage of RAG articles online. Most of them look like this:
"Load documents with LangChain → split → embed → retrieve → feed to GPT → get answer"
That pipeline works fine for a demo. But the moment you push it to production, things fall apart:
Build a RAG pipeline from scratch: chunking, embeddings, retrieval, reranking, grounded generation, and the production patterns…
How to Build Systems That Actually Know Your Data (Not Hallucinate About It) ...
Every RAG tutorial I read used LangChain or LlamaIndex and hid the interesting parts. So I built a 500-line RAG pipeline with no…
It started innocently enough. I needed a way to let my team ask questions about our sprawling...
Build production RAG systems in Node.js - Know where it breaks, why it works, and when to use...
Enterprise RAG — A practitioner's build log | Post 6 of 6 This series has documented a system built...
