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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Deep Lake - AI Knowledge Agent
@hambardzum_kaghketsyan1 we're going to release the Deep Research API soon. Will definitely send you early access, it's coming very very soon.
Deep Lake - AI Knowledge Agent
For now, you can use Deep Lake without the 'agentic' Deep Research capability, but with the multi-modal search via this tutorial.
Deep Lake - AI Knowledge Agent
Deep Lake - AI Knowledge Agent
Hi Product Hunt!
I'm Davit Buniatyan, CEO of Activeloop (YC S18). We're introducing Deep Lake AI Knowledge Agent, which 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.
Deep Lake can search your data from S3, Dropbox, and GCP. Over time, it learns from your queries, tailoring the results to your work!
Here are some example use cases:
1. Financial analysis
Connect earnings call transcripts, data from the Bloomberg terminal, and PowerPoint from the earnings reports or annual reports to analyze thousands of companies!
2. Scientific research
Connect patient EHR data, medical research (both public and internal), and lab results to discover new drugs (this is what a few Fortune 500 and leading biotech companies are doing with us already).
3. Legal stuff like patent search and generation, and contract review.
Cross-reference diagrams, scans of documents, invoices, etc. and ask questions over those! A few companies use us to search across millions of patents worldwide and generate novel, defensible patents! Examples here and here.
You may ask, what is our superpower?
There's a long answer, and a short answer (I'll let Sasun, our Director of Engineering handle the more technical part). But in short, I've spent a good chunk of my time at Princeton researching how to store complex data and connect it to AI.
TL;DR - we're multi-modal (i.e., handle all kinds of data, not just text or vectors) and highly accurate!
This is hard to achieve, but there's a way to store it in a way that's AI-native - and represent data that is unstructured in a more columnar way. At Activeloop, we figured out how to connect any data from your storage and process it in a way to extract as much information from it as possible without complicated OCR pipelines. Then, we store it in an AI-native format and can highly efficiently (more on that from Sasun) retrieve it from the storage, querying across multiple datasets at once.
With the model reasoning improving (our Agent can work with any model, closed-source or otherwise), we've unlocked the missing piece -> we provide the best-in-class AI search, while smart models help us generate answers to complex questions we find the right evidence for!
I'm very happy to share our hard work with you - please ask me anything about the product, our journey through YC to here, and more.
Deep Lake - AI Knowledge Agent
@david_buniatyan very exciting!
Deep Lake - AI Knowledge Agent
@david_buniatyan 🔥
Deep Lake - AI Knowledge Agent
@vahan25 indeed!
Deep Lake - AI Knowledge Agent
@david_buniatyan This is absolutely brilliant!
Deep Lake - AI Knowledge Agent
@david_buniatyan this is fantastic, really excited to see it's happening
Deep Lake - AI Knowledge Agent
Hey folks,
Mikayel here! I am the voice (and the face) on the launch video and Activeloop's Head of Marketing and Growth.
I’d like to answer a few common questions that I’ve heard from talking to 200+ early adopters in person. It should give you context on how you can get the most out of Deep Lake AI Knowledge Agent.
How is it different from other search/RAG/Deep Research tools?
Why do I mention this? Just to sprinkle some trivia, mainly, but also to showcase that our team knows their sh*t! We've spent the last 7 years building for this moment - rethinking how to organize unstructured data stored in different places and connect it to AI.
That's why Deep Lake, in comparison to others is:
Truly multi-modal (i.e. detects more information to feed into AI)
Works on private data (vs OpenAI, for instance, that currently doesn't).
Works on data at any scale, and across clouds (or locally)!
Has a bring-your-own model feature (to be released soon) that allows users to choose which reasoning LLM (e.g. open-source or close source) to use.
I've summarized more differences here.
Are you releasing an API for Deep Research?
Yes… As a matter of fact, whoever comments under this will get early access from yours truly.
Can I share links to my conversations?
Yes, you can -> e.g.https://chat.activeloop.ai/mikayel/conversations/67ba1696a0a3d652b5b5ebe8 (need to be logged in to search).
____
I am thrilled to finally go live on Product Hunt after almost six years of building (well, this product capability took less to build, but it has all culminated in this point). Data infrastructure for AI is really freaking tough to build. Kudos to our insanely talented engineers for developing a rocket engine to rival giants like OpenAI (while the rocket ship is still flying into outer space towards singularity).
As one of the only non-technical folks on the team, I’d be happy to answer any questions below or in our Slack community (slack.activeloop.ai). Thanks for having us!
Deep Lake - AI Knowledge Agent
@mikayel_harut great post!
BlueQubit
@david_buniatyan congrats on the Launch!
This one really stands out in todays world of emerging AI agents.
How long did it take to build and release Deep Lake AI Knowledge Agent?
Deep Lake - AI Knowledge Agent
@tehayk thank you so much for your support! One could say we were building towards this moment since inception of Activeloop almost 7 years ago. A core enabler for AI Knowledge Agent was introduction of Deep Lake v4, that radically increased the cost-efficiency by offloading the index to data lake as well, which helped us use models like ColPali for ingestion and querying (i.e. we use vision-language models to understand data and how it's linked together more deeply without a need of OCR pipelines).
After the launch of v4 in Oct, it was all hands on deck for this!
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?
KIVA (By Wellows)
@david_buniatyan Congratulations on the Launch.
Do you guys provide any API for deep research of your tool?
Deep Lake - AI Knowledge Agent