Nomic Embed
Shares tags: build, models & apis, embeddings
Power your vector pipelines with state-of-the-art text and image embeddings.
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overview
Jina Embeddings is an open-source embedding family designed for building sophisticated multilingual vector pipelines. With its versatile capabilities, it offers exceptional performance for tasks requiring the integration of text and images, catering to today's diverse dataset demands.
features
The latest version boasts a 3.8 billion parameter multimodal model capable of processing up to 32,768 tokens of text and 20 megapixel images. This allows teams to harness advanced capabilities for various applications without complicated architecture.
use_cases
Leverage Jina Embeddings in diverse applications such as semantic search, code retrieval, and AI support systems. Its high efficiency supports modern workflows, making it invaluable for various sectors.
Jina Embeddings excel in tasks involving both text and image data, making them ideal for semantic search, document retrieval, and applications requiring multimodal capabilities.
The LoRA adapters are specialized for various tasks, allowing for enhanced performance without increasing the model's parameter size, which helps maintain efficiency.
Yes, Jina Embeddings is designed to handle large-scale inputs efficiently, supporting enterprise-level deployments and a variety of data types.