Simplify AI data management for machine learning workflows
Deep Lake organizes and manages complex AI datasets across multiple formats like images, videos, and text. It helps teams work faster by enabling efficient data versioning and querying while reducing storage costs. The platform is particularly useful for enterprises implementing generative AI and computer vision projects.
Handles images, videos, text and vectors in one place
Track changes across complex AI datasets
Works with PyTorch, TensorFlow & ML workflows
Scalable infrastructure without manual setup
Search across millions of data points instantly
Handles images, videos, text, PDFs, vectors, and sensor data for AI workflows
Enables better data versioning and structured organization of training datasets
Yes, specifically designed for RAG implementations and multi-modal AI
This tool is best for:
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Deep Lake can be integrated with these apps and services:
Recent data shows that Deep Lake has 84.7K monthly visits (15.5% increase from the previous month), 48.0% bounce rate, and average 1.78 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by United States contributing 20% of total traffic. SEO performance is shown by 5 tracked keywords, with "activeloop" being the top-performing keyword with 490 monthly searches. See below for more info.
Monthly Visits
84.7K
Pages per Visit
1.78
Bounce Rate
48.0%
Average Time on Site
36s
| SEO Keyword | Volume | CPC |
|---|---|---|
| activeloop | 490 | $5.09 |
| active loop | 230 | - |
| na birds dataset for training ml model download | 210 | - |
| when was biggan invented | 160 | - |
| cifar dataset | 1.3K | - |
| Source | Traffic Share |
|---|---|
| Direct | 39% |
| Search | 48% |
| Social | 3% |
| Referrals | 9% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 20% |
 | 17% |
 | 7% |
 | 7% |
 | 6% |
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