RAG from Scratch in 10 lines Python – No Frameworks Needed!

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​ In this video, I’ll show you how to create a fully functional chat system using your own documents with just 10 lines of Python code. We’ll dive into Retrieval Augmented Generation (RAG) without relying on frameworks like LangChain, LamaIndex, or vector stores such as Chroma.

? RAG Beyond Basics Course:
https://prompt-s-site.thinkific.com/courses/rag

LINKS:
Colab: https://tinyurl.com/cnufkeky
Ben’s X account: https://x.com/bclavie
Ragatouille/ColBERT video: https://youtu.be/kEgeegk9iqo

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00:00 Introduction to Building a Chat System without Frameworks
00:26 Understanding Retrieval Augmented Generation (RAG)
02:12 Setting Up the Python Environment
03:39 Data Preparation and Chunking
05:12 Embedding the Chunks
06:31 Retrieving Relevant Chunks
08:53 Generating Responses with LLM
09:50 Advanced Techniques and Recommendations
11:15 Conclusion and Further Learning

All Interesting Videos:
Everything LangChain: https://www.youtube.com/playlist?list=PLVEEucA9MYhOu89CX8H3MBZqayTbcCTMr

Everything LLM: https://youtube.com/playlist?list=PLVEEucA9MYhNF5-zeb4Iw2Nl1OKTH-Txw

Everything Midjourney: https://youtube.com/playlist?list=PLVEEucA9MYhMdrdHZtFeEebl20LPkaSmw

AI Image Generation: https://youtube.com/playlist?list=PLVEEucA9MYhPVgYazU5hx6emMXtargd4z   Read More Prompt Engineering 

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