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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Deep knowledge retrieval is the future. Kudos to the builders of this tool.

ย Thank you so much! We're excited for whatโ€™s ahead!

thanks for the support!

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

ย thank you so much! Agreed.

The accuracy is phenomenal. Kudos to Davit and the Activeloop team for turning fiction into reality!

ย thank you so much! Feel free to share some examples of the questions you've asked. :) thanks for the support

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! ๐ŸŽ‰

ย thank you so much, Kay! You're absolutely right.

thank you!

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, and team!

many thanks! What would be your preferred use case?

Looks like a very powerful tool! Does it support searching over Google Drive as well?

ย Thanks for the question! Not yet, but we're planning to add other connectors soon.

ย for now, you can integrate Dropbox as well as your favorite cloud provider (AWS, GCP, Azure).

Behind every great product there is a great team.
Congrats Davit and the team with the launch.

ย thanks a lot, Sargis!

Congrats on the launch of Deep Lake AI Knowledge Agent! The ability to perform deep research across multiple data types and sources is impressive!

ย thanks a lot, Mikita. How would you use it?

ย You're welcome! I'd use Deep Lake AI Knowledge Agent for tasks like analyzing large datasets across various formats, such as research papers, financial reports, and customer feedback!

This is exciting! Compelling demo!

I am curious how effective Deep Lake's integrated knowledge retrieval approach is for avoiding hallucinations and finding relevant articles not found by other tools in the same space?

ย good question!

I wouldn't say it's possible to completely avoid hallucinations. Hallucinations happen for two reasons: wrong context, wrong answer by model, and right context, but still a wrong answer by a model. In the latter case, we can't do much. But we focus on making the former case obsolete!

How we do this:

  1. Query planning and gathering context from various datasets.

  2. Querying flexibility (choose to do hybrid, vector, keyword search, etc.)

  3. Multi-modality (on ingestion, gaining more depth of insight into what data is about - what is contained in figures, for instance), which helps pass more imoprtant context to the model.

We also learn over time what queries you consider correct, which helps further improve search experience and increase retrieval accuracy. No other vendor can handle this, as well as #3 as well as we do!

This is way to strong guys ๐Ÿ˜ฎโ€๐Ÿ’จ

ย haha, not sure how you mean this exactly but thank you! :)

ย thanks!