Davit Buniatyan

Activeloop AI Knowledge Agent - Deep Research on Your Multi-Modal Data

Need to find answers to hard questions across multiple sources, including your private data? Use our Knowledge Agents, powered by AI search to scan up to billions of rows of any data - images, PDFs, text, tables and more, and provide a well-researched answer.

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Mikayel Samvelyan

This looks like an incredibly useful tool for tackling complex, multi-source research questions. The ability to search across diverse data types and extract well-researched answers is definitely something the community will benefit from. Looking forward to seeing how people adopt it in different use cases.


Congrats on the launch, @david_buniatyan and team!

Davit Buniatyan

@samvelyanmany thanks! What would be your preferred use case?

Muhammad Waseem Panhwar

@david_buniatyan Congratulations on the Launch.

Do you guys provide any API for deep research of your tool?

Mikayel Harut
@waseem_panhwer yes Muhammad, you can request wailtist spot for the API. it is coming very soon (i will put you on the waitlist!)
Ashot Ayvazyan

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.

Emanuele

@ashot_ayvazyan1 Exactly! You definitely need to try our tool and let us know what you think. Your feedback would be incredibly valuable!!

Davit Buniatyan

@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.

Artem Harutyunyan
💎 Pixel perfection
Congrats on the launch! What integrations does it support?
Davit Buniatyan

@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)!

Tigran Bayburtsyan

Congrats @david_buniatyan this looks amazing!

I wonder if you tried doing Deep Research on top of images. Like from big pool of images finding those with a specific object or color contrast.

Mikayel Harut

@david_buniatyan @tigranbs yes it's available right now:)

Arsen Ohanyan

This would be very useful at every company I have worked in the past.

Davit Buniatyan

@ohharsen thank you!

Dmitry Stepanov
This is a game-changer for AI-driven research! The ability to search across vast amounts of multimodal data—images, PDFs, text, and tables—makes Activeloop AI Knowledge Agent an incredibly powerful tool. Excited to see how this evolves and helps teams streamline their data workflows. Huge kudos to the team!
Davit Buniatyan

@dmitriy_stepanov thank you!

Avag Simonyan
Congrats on the launch @david_buniatyan and team! Really interested in testing this out. Have you tried testing it with PDF data that includes architectural blueprints, technical drawings, and handwritten comments? We have a specific use case involving construction projects—would love to see how it handles this!
Davit Buniatyan

@avag_simonyan hi there! Actually yes - we have a bit technical blogpost talking about diagram-related use case. This doesn't use the AI Knowledge Agent but if it's possible with just code, it would be even easier through the AI Knowledge Agent UI. Handwritten comments wouldn't be an issue (no more than for an OCR). Specifically for architecture, we haven't tested it but should be extensible from other blueprints without an issue!


Would love to chat about the use case with you.

Davit Hovhannisyan

Here are few things that I really liked in my first experiments.

1) Being able to use lots of public data sets before porting my own. Gave use good idea what the usability would be like so it was really helpful.

2) Found the onboard for data access quiet helpful, lots of things were present that were really on point, e.g. CORS configs.

3) Really liked step by step presentation of things before final output would be generated. Would want to see more control there.

Example, when doing a search it allows to see "Generating TQL", which is great, now I want to see what would happen if I were to change TQL itself. Could I see side by side data? Could I see performance metrics. Not all queries are equal in backend side so may be I want to speed things up or help things get to better results.


I can see that the platform does have the ingredients so looking to explore further and give more updates here.