How to Build Your First RAG Pipeline (Step-by-Step Guide)

Video Description

Unlock the power of RAG and build your first functional RAG pipeline! -------------------------------- From the Creator: 1] Discord: https://discord.gg/hP96KbwvHt Join us to discuss ideas, projects and suggest topic for future streams. -------------------------------- What’s in it for you? 1️⃣ Get the Scoop on RAG: Dive into what RAG is, how it works, and why it’s the go-to for smarter, context-aware AI. 2️⃣ Build Your Own RAG Pipeline: Follow along as we create a fully functional pipeline from scratch. No magic tricks—just practical, hands-on learning! 3️⃣ Optimize Like a Pro: See how simple tweaks can take your pipeline’s performance to the next level. -------------------------------- References: 1] The Code: https://github.com/YourTechBud/ytb-practical-guide/tree/master/rag-101 2] LangChain Text Splitters: https://python.langchain.com/docs/concepts/text_splitters/ 3] Model Used: Llama3.1-8B-Instruct & Qwen2.5-32B-Instruct 4] Model Gateway: https://github.com/YourTechBud/inferix -------------------------------- Chapters: 00:00 - Introduction 01:05 - Making inference calls 04:19 - Why is RAG so important? 06:39 - How to teach ai? 10:31 - Deeper look at in context learning 13:17 - How to search for information? 21:14 - Creating embeddings 23:58 - Our first pipeline 28:22 - The need for iteration #RetrievalAugmentedGeneration #RAG #LLM #GenAI