How to set up RAG - Retrieval Augmented Generation (demo)

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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

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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Awesome Don, please do more of these videos explaining more about AI/ML

next topic: one on Lang chain or llama model 3 which was released recently.

belugaaa
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You really are a teacher, made it consumable to RAG newbies, this is how videos should be lol. Thank you very much

funmitoadeyemi
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I had been looking for the full set steps for a year now. This is easiest and very good video content! Thank you for teaching such important use of LLMs!

nayanchoudhary
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I’m a cybersecurity professional but I don’t code. More like an infrastructure guy. But now I’ve become very interested in AI security. Coding was always daunting for me. This guy made it look easy as pie. Thank you!

frackoil
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I tried the approach with a product catalog dataset and was able to get similar results. You are a wonderful teacher . Thank you so much for this video and for the education. Looking forward to the next demo.

swethaanil
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The way you conveyed that information was so structured and informative.
Your explanation made me grasp the concept quickly.
Thank You!!!

nadellaella
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Best explanation I have seen to date of how RAG works.

starter_culture
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It's so good to see a good demo, please put more videos, I would specifically looking for RDMS database to vector database to store embeddings so my user can use AI

govindarajram
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I loved this explanation of RAG. I’ll share this with my team.

OstaNazir
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Unbelievable content. Couldn't have been any simpler than this. Thank you so much.

dbosedxc
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Amazing job Don! Subscribed as soon as I have seen your first video about RAG and this one is even greater. Thank you very much, please keep making videos. You have a talent for teaching to lay audience.

fitnessismypassion
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This is awesome! Loved the explanation and walkthrough. Definitely sharing this with all folks i come across who'd need help with this!

nomorecramps
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I appreciate you immensely! Awesome concise clear information. I really hope you continue to make available content like this.

MWileY-njyb
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I am full stack developer trying to get into machine learning /ai industry workspace. Your videos are motivation for people like us.

akashacharya
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Great video, easy to follow, highly informative. Thanks!

secondsleep
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Amazing video, save me ton of days to study. Thank you very much Mr. Don

amnguyenduyan
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Thanks, after watching your video I got clear understanding how we can implement RAG.

MohitGupta-czok
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You made my demo remarkable, I explained my audience easily ❤❤❤❤❤❤

SantK
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Great demo and explanation . Thank you for sharing the knowledge !

arivolis
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love it, thank you! I appreciate these videos.

peterezkka