Blog Series
Retrieval Augmented Generation (RAG): From Zero to Production
A 5-part guide that takes you from understanding why AI hallucinates, through the mechanics of RAG, to building, optimizing, and deploying production-ready systems.
5 Parts47 min total
Start Part 15 parts from fundamentals to production
1
Start Here·8 min read
The Real Reason AI Invents Facts (And How to Make It Stop)
AI models invent facts because they're guessing, not looking things up. There's a fix — and it's the difference between an AI with amnesia and one with a library card.
2
9 min read
From Documents to Answers: How RAG Actually Works
RAG isn't magic — it's a four-step system. Here's how documents become answers, explained without code.
3
10 min read
How to Build a RAG System That Actually Works
Most RAG tutorials skip the hard parts. This one doesn't — here's how to actually ship a working system.
4
11 min read
Beyond Basic RAG: Chunking, Hybrid Search, and Reranking
Most RAG tutorials stop at "it works." This one shows you how to make it work well.
5
9 min read
RAG vs Fine-Tuning: A Decision Framework for Real Projects
RAG and fine-tuning solve different problems. Here's how to decide which one your project actually needs.