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docarray/docarray

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

Core Features

Native support for major ML frameworks (NumPy, PyTorch, TensorFlow, JAX) for model training.

Built on Pydantic, ensuring compatibility with web/microservice frameworks like FastAPI and Jina.

Provides support for various vector databases including Weaviate, Qdrant, Elasticsearch, Redis, and MongoDB.

Enables flexible data transmission as JSON over HTTP or Protobuf over gRPC.

Facilitates data representation in a machine learning-attuned manner, similar to Python dataclasses.

Quick Start

pip install -U docarray

Detailed Introduction

DocArray is a Python library specifically engineered to handle multimodal data throughout its lifecycle—from representation and transmission to storage and retrieval. It serves as a foundational data structure for building advanced multimodal AI applications, ensuring compatibility with the broader Python and machine learning ecosystems. By leveraging Pydantic, it offers robust data validation and serialization, making it ideal for model training, serving via APIs, and efficient data parsing. Its extensive integrations with popular ML frameworks and vector databases position it as a versatile tool for modern AI development.