Deep Lake Docs
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Activeloop Deep Lake
Deep Lake as a Data Lake For Deep Learning
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 as a Multi-Modal Vector Store
Store embeddings and their metadata including text, jsons, images, audio, video, and more. Save the data locally, in your cloud, or on Activeloop storage.
Perform hybrid search including embeddings and their attributes.
No deployment necessary. All computations run on the client-side.
Managed or self-deployed serverless database is coming soon.
Deep Lake Docs Overview
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