If you want to learn RAG Beyond Basics, checkout this course: prompt-s-site.thinkific.com/courses/rag

a nice open source and self hosted version would be great

Such an insightful information, Eagerly waiting for more multimodel approches.

We need more videos on this topic

Keep going with this approach, it is something I have been struggling with.

@waju3234

12 күн бұрын

Me too. For my case, the answer is normally hidden behind the data, context and the images.

Lots of good info, thanks

What about make same, but using LLAMA3 or less local LLM?

Thanks your videos are very helpful. I have several Gigs of pdf ebooks that i would like to process with RAG. What do you think what approach would be the best, this or a graphrag. In my case i'm looking only for local models as the costs would be very high. What if to convert all pdf pages into images first and then process them with local model like phi 3 vision and then process it with Graphrag, would it work out?

It is essential to conduct a thorough preprocessing of the documents before entering them into the RAG. This involves extracting the text, tables, and images, and processing the latter through a vision module. Additionally, it is crucial to maintain content coherence by ensuring that references to tables and images are correctly preserved in the text. Only after this processing should the documents be entered into a LLM.

@engineerprompt

13 күн бұрын

agree!

@jtjames79

12 күн бұрын

That's a lot of work. Can an AI do this?

@engineerprompt

12 күн бұрын

@@jtjames79 Yup :)

Hi your videos are very helpful thank you

@engineerprompt

13 күн бұрын

Glad you like them!

I appreciate your effort. Pl create one to fine tune the model for efficient retrieval if possible, with lang chain.

wheres the code used?

Can you pls dive deeper into why qdrant was used and other vector dbs limitations to store both text and image embeddings, thx

@engineerprompt

13 күн бұрын

will see if I can create a video on it.

it's great job! Thanks

@engineerprompt

13 күн бұрын

thanks :)

Can we do this method using Langchain ?

@engineerprompt

13 күн бұрын

Yes, will be creating a video on it.

Is it better than GraphRAG? How does the output quality compare to it?

@engineerprompt

10 күн бұрын

You could potentially create a graphRAG on top of it.

Thanks

Very nice video but if you can do it with open source embedding model it would be very cool. thank you for the video

This approach is not good enough to add value. The pictures and text needs to be referenced and linked in both vector stores to create better similarities.

@engineerprompt

10 күн бұрын

watch my latest video :)

I except image generation will be have another kind of breed... image gen based on image understanding based on facts