Trusted by
The Vector Database That Keeps Up With Your Agents
Agentic Loops
Physical AI
Generative Media
Your Agents Retrieve Thousands of Times Per Session
Every reasoning step is a vector query. The retrieval layer isn't a nice-to-have, it's the critical path.
But Vector Databases Were Built for Search, Not Agents
Most were designed for one-shot semantic search. Agentic workloads need thousands of retrievals per minute across multimodal data. Your vector DB is the bottleneck you haven't diagnosed.
What If Your Vector Database Ran on GPUs?
Deeplake executes vector queries where your models already live. No serialization, no data shuttle. 10x speed on every retrieval your agent makes.
The modern vector database, built for the modern AI stack.
Postgres
as simple as your favorite database
DuckDB
as fast as your best query engine
Deeplake
data lake optimized for AI
GPU
infinitely scalable
Your agents will produce results 3x faster
Agents are going to run an order of magnitude more queries. Deeplake enables agents to run those queries faster, at just a fraction of the cost.
Based on SF-100 data for analytical DBMS.
Total Time (seconds)
Total Cost (USD)
Database Cost per Workload
Deeplake offers significantly lower costs compared to traditional solutions.
Based on ClickBench data for analytical DBMS.
* comparison based on reported results
Loved by AI teams worldwide.
"It's next-level. We've enabled a new human-machine interface that is natural to use and yields high-accuracy results for end-users. I am confident that adopting Activeloop was a value-add through improved innovation that will compound as our AI operations grow"
"They started out with a vector store integration, so it's flown under the radar, but... @activeloopai's Deeplake is an intriguing fully-fledged serverless data lake that supports attribute based filtering, multiple distance functions, MMR search."
"As the datasets enlarge and become multi-modal, next-gen solutions built specifically to address those use cases, like Deeplake, will help AI teams deliver models to production faster, and more efficiently."
"We've 10x-ed the time to production, increased model accuracy by 19.5% and reduced training costs by 32%, setting new standards in the last-mile delivery space."
"Deeplake made working on more complex data no more complicated from a data management point of view. Whether I'm working on 10 million images with 10 different modalities or a thousand images with just one modality, it's all the same from the perspective of the user of the system."
Ready to build with Deeplake?
Join thousands of developers building AI applications with the fastest vector database.