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docarray/docarray

A Python library for representing, transmitting, storing, and retrieving multimodal data, designed for AI applications.

Core Features

Multimodal data representation optimized for machine learning.

Native integration with major ML frameworks (NumPy, PyTorch, TensorFlow, JAX).

Compatibility with web and microservice frameworks (Pydantic, FastAPI, Jina).

Support for diverse vector databases and storage solutions.

Flexible data transmission protocols (HTTP/JSON, gRPC/Protobuf).

Quick Start

pip install -U docarray

Detailed Introduction

DocArray is a Python library meticulously designed for the comprehensive management of multimodal data, encompassing its representation, transmission, storage, and retrieval. It provides a robust data structure tailored for developing sophisticated multimodal AI applications, ensuring deep compatibility with the broader Python and machine learning ecosystems. Built upon Pydantic, DocArray seamlessly integrates with popular web frameworks and supports a wide array of machine learning frameworks and vector databases, positioning it as an essential tool for data scientists and AI developers working with complex, unstructured data.