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Great video very well explained. Do you also have a video on how to download a website into a CSV?

Wow, Thank You

Thank you very much for this great presentation. Tomorrow I will use this video to describe in a few minutes to the decision-makers in my company what this RAG means. Many simply do not yet understand the simplicity behind the pattern and therefore the possibilities I find it difficult to present it in such simplicity Thank you very much🙂

This was by far the most useful video I have seen in a while on AI topic, well done everybody

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

Awesome video! It helped explain the concept a great deal. well done👍

Thanks Don, it's very useful and an out-of-the-box use case. What do you think about extending this to ED triage categorization and assisting providers by presenting a care plan (or protocol) based on the patient's medical history and current diagnosis?

I like the video which software did you use. Well done sir

Wow! Wonderful session. I loved the simplicity of explaining RAG. Thanks a lot Don.

I finally understood what RAG is, including the vector part. Great!

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

Thank you so much! This is a great, easy-to-follow explanation. Coincidentally, I'm having knee surgery tomorrow. LOL.

Great video! where can I get the code used in the video?

This has been the most helpful video I've found to help me understand how RAG works. Thank you so much for your wonderful explanation!

Great video! Could you please do one video on RAG with knowledge graph? Thanks!

Excellent, made so simple.😃

what a great explanation of RAG! Thank you

Hello Don Sir, thanks for this explanation. You're a blessed master craftsman. Simple and precise description and to the point.

Thank you

What is concatenate?

So what is df?

helpful! thanks.

well done! thanks.

one sentence summary: the data input(your own content) for gpt

Thanks for this great explanation, Don!

Great video! How did you get the content of the website? I am working on a similar project, and most of my effort seems to be scraping pages.

awesome explanation. Thank you

I really fall in love with RAG, I am a Master student and I want to do some research on RAG for my upcoming Thesis Project. Can I have some suggestion from you ? articles or publications ? Thanks for this video

Let me ask...do you have any methodologies to keep the chunks from the internal database private for the rag recall with the LLM if those internal databases that the RAG system is pulling from are confidential? I've been grappling with this...any insights will be much appreciated. Thank you!

Hi Don, thank you for the great video. It would be great if you could share the notebook codes 😊

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

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

Just I watched from youtube suggestions and you me good explanations on Retrieval augmented generation closure to my use case. Thank you

Simple and clear! Thanks!

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

How did you turn the website into a csv file? web-scraper? if so, which one?

I wonder what is the role of LLM in creating a vector, it looks like simple indexation

Awesome Sir !!

Great explanation of RAG. I subscribed to your channel after watching this. Thank you Don for the great content.

Great explanation! Is there a way i can get the code you show in the jupyter notebook please? Would like to play around with it using my dataset. That would be very helpful!

🏃 *promo sm*

Wow he has explained this really clearly. This is the missing link for me between LLMs and making them actually useful for my projects. Thank you!

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

If I don’t have any relative data in my document then how to avoid giving respond to that question instead of giving random answer unrelated answer

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

Great explanation, I have seen a lot of these and people normally go into far too much detail and muddy the water, or are far too abstract, fast and loose, or just get it wrong. I think this is a great level to cover this topic at.

This was fantastic! Thank you!

God save that patient on his/ her Knee Surgery !!

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.

Very thankful Don. It would be awesome to get some timestamps throughout the video, but this is incredible as is.