Jina is an open-source, cloud-native neural search framework that enables developers to build powerful and scalable search applications. It leverages deep learning models to provide efficient and scalable full-text and multimodal search capabilities, making it ideal for applications involving large-scale data processing and AI-driven search use cases.

Features of Jina:

Scalable neural search powered by deep learning models.
Supports full-text and multimodal search, including text, image, audio, and video data.
Cloud-native architecture optimized for distributed and containerized deployments.
Integration with popular deep learning frameworks like PyTorch and TensorFlow.
Flexible query interfaces, including RESTful APIs, gRPC, and native SDKs.
High-performance indexing and retrieval of large-scale datasets.

To check your Jina version, run $ jina --version in your terminal.

Disclaimer: Jina is an open-source project released under the Apache License 2.0. Users are responsible for complying with licensing terms and ensuring proper configuration and security practices. Jina is provided "as is," without any warranty, express or implied.

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