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

Unlock the power of RAG and build your first functional RAG pipeline!

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From the Creator:

1] Discord: discord.gg/hP96KbwvHt
Join us to discuss ideas, projects and suggest topic for future streams.

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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.

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References:
1] The Code: github.com/YourTechBud/ytb-practical-guide/tree/ma…
2] LangChain Text Splitters: python.langchain.com/docs/concepts/text_splitters/
3] Model Used: Llama3.1-8B-Instruct & Qwen2.5-32B-Instruct
4] Model Gateway: github.com/YourTechBud/inferix

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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