Most GenAI chatbot tutorials stop at “call an LLM get an answer.”

#ai #genai #rag #chatapp

That’s fine… until you try to build something real.

While some people turn this gap into multi-hour courses and “exclusive” webinars, I figured I’d just share it openly—because this stuff shouldn’t need a paywall.

I wrote a free article that takes a practical, production-inspired approach—based on how I’ve built systems in real-world environments—going beyond demos to something that actually resembles production systems.

It covers:

How retrieval changes everything (and why your chatbot might be hallucinating)
Designing with auth, streaming, and guardrails from day one
Why data sanitization is more important than model choice
How to structure your code so you can swap vector DBs (HNSWLib → OpenSearch/Chroma)

The repo is open-source, so you can fork it and build your own version.

👉 Full article: Building a Realistic GenAI Chatbot: A Practical RAG Starter

👉 Repo:
https://github.com/ravindrasinghshah/genai-chatbot

If you’re moving from “toy chatbot” → “real system,” this should give you a solid starting point.

Curious how others here are approaching retrieval + evaluation in their RAG setups.