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YouTube

The RAG Stack We Landed On After 37 Fails

AI Engineer via YouTube

Overview

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Learn how to build an effective Retrieval-Augmented Generation (RAG) system through a conference talk that shares hard-won insights from 37 failed attempts at optimizing RAG pipelines. Discover systematic approaches to diagnosing and fixing common RAG problems like irrelevant retrieval results and cloud deployment challenges. Follow along with live demonstrations using real knowledge base documents to see how each optimization technique impacts end results. Gain practical knowledge for identifying weaknesses in your RAG pipeline and applying targeted improvements that significantly enhance performance in production environments. Master the complete RAG stack through lessons learned from extensive trial and error, enabling you to avoid common pitfalls and implement solutions that work reliably in real-world applications.

Syllabus

The RAG Stack We Landed On After 37 Fails - Jonathan Fernandes

Taught by

AI Engineer

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