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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Bardeen
Deep Lake - AI Knowledge Agent
@artem_harutyunyan out of the box, the AI Knowledge Agent integrates with your favorite cloud storage providers (Azure, GCP, AWS), Dropbox (with more storage integrations underway). We also integrate with OpenAI, AWS Bedrock, and other model providers (coming soon)!
Your data is your ultimate competitive advantage! Leveraging it effectively isn’t just an option anymore - it’s the key to staying ahead. Exciting to see solutions like Activeloop Agent unlocking its full potential, driving smarter decisions, and creating real impact!
How does it handle data quality and relevance when dealing with diverse sources ?
Deep Lake - AI Knowledge Agent
@gerasimh Thank you for your message! The system is based on a multimodal retrieval system, capable of obtaining the most relevant information in response to the user's query.
Through a process of data analysis and aggregation, it can provide surprisingly accurate answers. All of this is made possible thanks to the performance and flexibility offered by our database, Deep Lake.
Deep Lake - AI Knowledge Agent
@gerasimh one more additional point to Emanuele's - we learn from user queries over time to suggest more relevant information! And additionally, one surprisingly good way of increasing response quality is vision-language models -> OCR pipelines while performing well, are slightly clunky... Having an end-to-end neural search helps to get full context from the data across modalities, increasing response quality.
Flexprice
This is exciting! I faced similar knowledge base challenges during my time at an omnichannel e-commerce company. Would love to try it out :)
Deep Lake - AI Knowledge Agent
@manish_choudhary19 thanks a lot! curious to hear which modalities were you querying across or what was the exact use case? keep us posted how you like it.
Deep Lake - AI Knowledge Agent
@manish_choudhary19 Great! Would love to get your feedback.
Flexprice
I had on ground ops/sales team that used to call for every small query that they had, if they had a solution where they can simply go on a platform and ask queries in their normal language on top of internal documentations
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).
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).
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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!
I've been exploring data visualization tools lately, and managing raw, unstructured datasets is always a major hurdle. An agent that can autonomously perform deep research and structure this data is fascinating. How easily can its findings be exported into formats readable by tools like Power BI or a custom React charting library?
Wow, this is exciting! At Cloudchipr, we store a vast amount of data in object storages with diverse structures - from CSVs to time series and key-value data. This is a game-changer for us in generating various general statistics and empowering customers to "talk to with their data" without being restricted by data type.
Deep Lake - AI Knowledge Agent
@ashot_ayvazyan1 Exactly! You definitely need to try our tool and let us know what you think. Your feedback would be incredibly valuable!!
Deep Lake - AI Knowledge Agent
@ashot_ayvazyan1 thank you so much for sharing the use case - actually, you can copy the fine-grained access from your cloud provider to Activeloop, making it possible to restrict certain users of asking questions on only specific data.