Gen AI Part 8 - MASTERING RAGs: Build Production-Ready LLM Applications from Scratch

In this deep-dive tutorial, we go beyond simple API calls to show you the entire architecture. We spend the first 10 minutes mastering the core components of LangChain (Chains, Prompts, Agents) and the remaining 30 minutes meticulously breaking down the entire RAG pipeline, component by component.

You will learn:

✅ Why a single LLM API call is insufficient for real-world apps.

✅ The exact steps of the RAG Indexing Phase (Loading, Chunking, Embedding).

✅ The concept of Vectorization and how it enables Semantic Search.

✅ How LangChain's Chains (specifically RetrievalQAChain) orchestrate the entire process.

✅ How RAG eliminates LLM hallucinations by grounding answers in your custom data.

This is a complete, detailed guide for AI Engineers, Data Scientists, and Developers looking to build production-grade LLM applications.

Видео Gen AI Part 8 - MASTERING RAGs: Build Production-Ready LLM Applications from Scratch канала M365 & Modern Tech Help