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/c...

LINKS:
Colab: https://tinyurl.com/cnufkeky
Ben's X account: https://x.com/bclavie
Ragatouille/ColBERT video:    • Advanced RAG with ColBERT in LangChai...  


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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:    • LangChain  

Everything LLM:    • Large Language Models  

Everything Midjourney:    • MidJourney Tutorials  

AI Image Generation:    • AI Image Generation Tutorials