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Deep Lake Docs
We hope you enjoy Docs for Deep Lake.
- Store and search embeddings and their metadata including text, jsons, images, audio, video, and more. Save the data locally, in your cloud, or on Deep Lake storage.
- Store images, audios, videos, text and their metadata (i.e. annotations) in a data format optimized for Deep Learning. Save the data locally, in your cloud, or on Activeloop storage.
- Rapidly train PyTorch and TensorFlow models while streaming data with no boilerplate code.
- Run version control, dataset queries, and distributed workloads using a simple Python API.

Deep Lake Architecture for Inference and Model Development Applications.
To start using Deep Lake ASAP, check out our Vector Store Quickstart, Deep Learning Quickstart, Getting Started Guides, Tutorials, and Playbooks.