A Simple Guide to RAG for Reliable AI with Abhinav Kimothi

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24d ago 53:39

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Ever wondered how to stop LLMs from hallucinating or making things up? The answer is RAG (Retrieval-Augmented Generation), and it's a critical technique for building reliable, fact-based AI applications.

In this episode, Alan sits down with Abhinav Kimothi, Director of Data Science at Sigmoid and author of the Manning book, "A Simple Guide to RAG". Abhinav demystifies this powerful concept, making it accessible for developers and enthusiasts at any level.

This is a must-listen for anyone looking to move beyond basic chatbot functionality and build truly intelligent, trustworthy AI.

📘 Get the Book! 📘

Grab your copy of "A Simple Guide to Retrieval Augmented Generation" directly from Manning and get a special 45% discount with the code: flutter45

🔗 https://www.manning.com/books/a-simple-guide-to-retrieval-augmented-generation

On the Show:

🎙️ Guest: Abhinav Kimothi https://www.linkedin.com/in/abhinav-kimothi/

🎙️ Host: Allen Wyma https://x.com/allenwyma

Timecodes:

00:00 - Meet Abhinav Kimothi: 18 Years in Data Science & AI

02:10 - Demystifying RAG (Retrieval-Augmented Generation)

10:15 - The Mechanics of RAG: How Retrieval & Semantic Search Work

16:50 - Common Failures in RAG Systems & How to Fix Them

26:10 - Production-Ready RAG: RAG Ops & Development Frameworks

34:15 - Advice for Developers & Outro

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