Mastering Retrieval Augmented Generation (RAG) | Step-by-Step Demo 🚀

When I posted my video on Retrieval Augmented Generation (RAG), I got a lot of requests to show exactly how it worked at a technical level.

RAG helps you create a ChatGPT-like experience that uses your own internal content. Instead of only accessing information from the internet, an LLM can access your PDFs or databases or any other internal content by using a RAG architecture.

I know this is a little more technical than my previous videos, so I’d love to hear from you if you thought this was interesting and if I should do more! Drop a comment so I know.

#RAG #AI #VectorDB #LLM #codetocare #artificialintelligence #machinelearning #ml #chatgpt #genai

Also, check out our VectorDB here: https://www.intersystems.com/news/iris-vector-search-support-ai-applications/

Check out my LinkedIn: https://www.linkedin.com/in/donwoodlock/

Timecodes:
00:00 - Intro
00:35 - Demo Layout in Stages
00:59 - Stage 1: Using a Simple Pass Through Prompt
01:52 - Stage 1: Desktop Demo
04:15 - Stage 2: Adding Instructions to your prompt
05:11 - Stage 2: Desktop Demo
07:18 - Stage 3: Setting up Retrieval Augmented Generation
09:05 - Stage 3: Desktop Demo
19:10 - Wrap up

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