Excellent, in-depth and intuitive. I like that you aim to cultivate an understanding of the techniques involved rather than showcasing some tools, and all while being concise. Keep it up!
thanks for the video. How does this fit in with RAG exactly? Does this provide a way for us to store documents with more than a page as a single vector? I
My understanding is that with RAG you chunk the documents (eg by sentence) and embed those. Then you can compare the query string embedding with each of those chunks for lookups
Thanks for this, super helpful!
Excellent, in-depth and intuitive. I like that you aim to cultivate an understanding of the techniques involved rather than showcasing some tools, and all while being concise. Keep it up!
Thank you!
Amazing video quality! Hopefully you start getting more views soon 🤞
Thank you!
thanks for the video. How does this fit in with RAG exactly? Does this provide a way for us to store documents with more than a page as a single vector?
I
My understanding is that with RAG you chunk the documents (eg by sentence) and embed those. Then you can compare the query string embedding with each of those chunks for lookups