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datachain-ai/datachain

DataChain provides a typed, versioned, and queryable data context layer for unstructured data in object storage, empowering AI agents and pipelines with efficient metadata management and incremental computations.

Core Features

Metadata queries across millions of files in milliseconds.

Pipelines checkpointing and incremental re-runs (delta=True).

Registers named, versioned datasets with schema and lineage.

Generates an agent-readable knowledge base (dc-knowledge/).

Works with S3, GCS, Azure, and local filesystems.

Quick Start

pip install datachain

Detailed Introduction

DataChain addresses the challenge of managing unstructured data for AI/ML workflows by creating a data context layer over object storage. It offers a unified, versioned, and queryable view of files, enabling AI agents and pipelines to efficiently access and process data without costly duplication or in-memory loading. Key benefits include rapid metadata querying, intelligent pipeline checkpointing for incremental computations, and automated generation of a knowledge base, significantly streamlining data preparation and model training processes across various cloud storage providers.