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can you share links to tools presented

great video , but can you share link to python code pls

Thanks a lot for the tutorial and explanation!!!

link broken to notebook.ipynb

so it will not work on windows?

can you share code used in video pls

Great Video! Thank you to you both for sharing this information. If I want to build a research assistant that uses data that i store locally e.g. read pdfs, pull data from raw files, sort data, perform calculations using software models on my local system etc i.e. Design a workflow that is highly specific to my own needs, is that relatively easy to do and can you do a more indept tutorial on something similar? I'm asking because I don't have a strong CS background. If possible that'll be awesome, but cheers on the video. Wishing you all the success!

thanks

Do you think PydanticAI has more future potential than Autogen?

Nice content need more content with respect to beginners in ai

HNY ❤

Keep going, nice content, Happy new year!

You must included your new course about how to build knowledge graph from unstructured data by using llm with advanced technique

How does one join your community?

谢谢！

I have been trying to build RAG and stuck at the same problem, and just found your video, giving me very good idea to add contextual text to my chunks using that prompt. Thanks alot !

Brilliantly explained! This vision-language model hack is a game-changer for document retrieval-innovative and insightful!

as an end user, my personal ambition is to build an agentic rag system capable of digesting a full library upon a theme, so maybe a little library can be 10 books from 200 to 500 pages each one. Right now I understand the logic you are exposing, I'm very far from achieving this, but will persevere. as far as I understand my agent has to answer only using my curated library, I'm thinking about other functions it can solve. thanks for your work. this is going very fast, or too slow depending how you look at it. do you need feedback from end users like me? do you build a community to achieve feed backs between coders and needers? thanks again.

Yay, thanks for putting this forward. I would love to do the course but my time is very chopped up and I wouldn't have time to dedicate to a cohort and deal with strict time bound deliverables. But I would happily buy in and follow the material as time permits. Is that possible?

Really, well explained. Thanks Sir !!

using pydantic ai w/ mcp... what are your thoughts?

Very informative. Thanks

Thanks for the great explanation

Thanks, looking forward to Sunday.

Very helpful

Thanks :)

Awesome video! I learned a lot, thank you.

It was very useful and valuable. Thank you.

Love your work and videos 📹 . Always something to learn.

👍

like it

I am super like your channel. I was every helpful for me to upgrade a new knowledge. Thank for your time to contribute to community. In case you want to find collaborators, feel free to contact with me. I am researching Gen AI capabilities for my company. And how to apply it into enterprise. Hope to collaborators with your team. Finally, thank a lot

Those audio artifacts in your voice-lines (through your manual speed up) are so annoying

Love your channel keep it up!

Very informative video with excellent production. Looking forward for more content

👍

Not Maddy, it is Mehhhdiii ;)

What If i already have a rdf based KG in turtle format how can i integrate it with RAG?!

What about RDF based knowledge graph in turtle format? How can I use it RAG with it? In which phase of RAG pipeline?!

I’m currently applying Qwen for video understanding to detect shoplifting in a store And it blew my mind when it recognized the logo on the t-shirt someone was wearing in the video 🤯

I absolutely love the Qwen models and yeah I agree they’re not talked about nearly enough! Funny how I’m always applying things in my work and you talk about them in your videos immediately 😅 I would love to do a deep dive into the paper and learn what they’re really doing under the hood though, video idea?

Thank you. Which is better? Rag or fine tuning? And any hope for the fully open source development? What do you think?

Great video and as always, the absolute best content! What were the vision LLM(s) that Mehdi mentioned he tried?

Amazing video this kind of teacher we need rather who teach abscration plz make more video on complex topics with is man tq

n8n has been out there for long as a great self hosted alternative to make or zapier

Any reason your video wouldn't load in notebook LM?

It would help if the code was also available. Could you post the link to your code shown in your Jupyter Notebook ?

I am a humanities professor. I enjoyed this video and I'm interested in the course you mentioned. I would like to build a rag system with features like knowledge graphs and visualization. I think it would be very helpful for myself and my students to have such a discursive database for each course I teach. I hope your course will include educational use cases at collegiate level. Thank you!

RAG is largely about high quality IR techniques and a framework that has the right tools to address last 30 or 20% failures is valuable. All these tools are nice but these are all icing while the cake is missing 😀