How to start building production grade GenAI Chatbot

Building Real Chatbots: Beyond LLM Demos | Ravindra Singh Shah posted on the topic | LinkedIn

Most GenAI chatbot tutorials stop at “call an LLM get an answer.” 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) ⭐ How to evaluate quality using LLM-as-a-judge and other testing strategies The repo is open-source, so you can fork it and build your own version. 👉 Full article: https://lnkd.in/gf2GJATb 👉 Repo: https://lnkd.in/gW4jEGQX If you’re moving from “toy chatbot” → “real system,” this should give you a solid starting point. #genai #rag #chatbot #vectordatabase #aisolutions

linkedin.com