Core

The open-source Deeplake library provides a multi-modal AI database for dataset management, vector search, and deep learning training. Store datasets locally or on any cloud, stream data to PyTorch/TensorFlow, and run semantic search queries.

Installation

pip install deeplake

Key Features

• Multi-modal storage: images, embeddings, tensors, text, and more
• Cloud-native: S3, GCS, Azure, or local filesystem
• Deep learning integration: native PyTorch and TensorFlow data loaders
• Vector search: cosine similarity, BM25 text search
• Version control: built-in data versioning and lineage

Get Started

• API Reference

  Python API documentation (Dataset, Column, Types, Query).

• Advanced

  TQL syntax, visualization, best practices.