Deep Lake Docs
We hope you enjoy Docs for Deep Lake.
Activeloop Deep Lake
Deep Lake as a Vector Store
Store embeddings and their metadata including text, jsons, images, audio, video, and more. Save the data locally, in your cloud, or on Deep Lake storage.
Perform hybrid search including embeddings and their attributes.
Run computations on the client-side, on our Managed Tensor Database, or on a serverless deployment in your VPC.
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 Docs Overview
Last updated