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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Shark.Health
Behind every great product there is a great team.
Congrats Davit and the team with the launch.
Deep Lake - AI Knowledge Agent
@sargis_karapetyan2 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!
Deep Lake - AI Knowledge Agent
@mikita_aliaksandrovich thanks a lot, Mikita. How would you use it?
@david_buniatyan 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?
Deep Lake - AI Knowledge Agent
@ngalstyan4 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:
Query planning and gathering context from various datasets.
Querying flexibility (choose to do hybrid, vector, keyword search, etc.)
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!
Streak Hunter
Deep Lake - AI Knowledge Agent
@denisss haha, not sure how you mean this exactly but thank you! :)
Deep Lake - AI Knowledge Agent
@denisss thanks!
Considering the most valuable data tends to be in-house, this is amazing 🤩 Great work, @mikayel_harut !
Deep Lake - AI Knowledge Agent
@nicozensara thank you so much <3
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.
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!
Deep Lake - AI Knowledge Agent
@samvelyanmany thanks! What would be your preferred use case?