Deep Lake AI Knowledge Agent conducts Deep Research on your data, no matter its modality, location, or size. Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) stored anywhere, to AI. Over time, it learns from your queries, tailoring the results to your work! Deep Lake is used by Fortune 500 companies like Bayer, Matterport, and others.
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The traditional stack to chat with your own multimodal data is indeed becoming too large to maintain.
Deep Lake is a game changer - it takes away all the complexity, while maintaining similar quality.
Congrats on the launch 🚀
Deep Lake - AI Knowledge Agent
@armzak thank you so much! Agreed.
The accuracy is phenomenal. Kudos to Davit and the Activeloop team for turning fiction into reality!
Deep Lake - AI Knowledge Agent
@kantuni thank you so much! Feel free to share some examples of the questions you've asked. :) thanks for the support
TRDATA
Congrats on the launch! 🚀
I like that the interface of your agent is different than ChatGPT. It’s light in all aspects of the word. That said, I mentioned potential improvements in user flows that might make the overall experience even smoother than it is now. https://stripe-rosehip-b9c.notion.site/Deep-Lake-interface-improvement-suggestions-2e06ce487db34d4cb866a67e3b2f8f01
Deep Lake - AI Knowledge Agent
@anton_osipov oh my, if we had a second Pixel Perfection award we'd give it out. Thank you so so much for the thoughtful feedback! Will pass over to the team for the improvement. :)
TRDATA
A-ha-ha, thank you! I'm just glad that my comments are useful
Congrats on the launch, @david_buniatyan! I saw Deep Lake works with all kinds of data. How do you handle something like videos or images compared to text?
Deep Lake - AI Knowledge Agent
@karen_khachikyan2 thanks for the question - I think the best use case for AI Knowledge Agent on our end is images, PDFs, text, and tables at the moment. AI Knowledge Agent can't readily process videos (unless you convert it into sequences of images). The temporal component is a blocker.
However, if you're using Deep Lake outside of Knowledge Agent use case (i.e. to train ML models), it's readily available to sue with videos and we have multiple customers using it that way. In that case, it depends on what the use case is (and videos can be handled in their raw format, or sequence of images format, etc.).
Does this answer your question? Happy to dive deeper into it.
DiffSense
What about my local files on my computer? Or is it cloud first? I might need to sync files to dropbox or google cloud first maybe?
Deep Lake - AI Knowledge Agent
@sentry_co good question. in the video demo you can see the example of local data upload (4:03)! What would be your use case?
OCR-free retrieval of documents, images, and videos? This truly feels like the next era of AI-driven data utilization! Huge congratulations on your launch! 🎉
Deep Lake - AI Knowledge Agent
@kay_arkain thank you so much, Kay! You're absolutely right.
Deep Lake - AI Knowledge Agent
Looks like a very powerful tool! Does it support searching over Google Drive as well?
Deep Lake - AI Knowledge Agent
@tleyden Thanks for the question! Not yet, but we're planning to add other connectors soon.
Deep Lake - AI Knowledge Agent
@tleyden for now, you can integrate Dropbox as well as your favorite cloud provider (AWS, GCP, Azure).