Jina ColBERT v2
Multilingual late interactive retrieval model, supporting embedding and reordering
Product Details
Jina ColBERT v2 is an advanced late-interaction retrieval model built on the ColBERT architecture, supports 89 languages, and provides superior retrieval performance, user-controllable output dimensions and text processing capabilities up to 8192 tokens. It is revolutionary in the field of information retrieval, approximating joint query-document attention in cross-encoders through late interaction scoring, while maintaining inference efficiency close to traditional dense retrieval models.
Main Features
How to Use
Target Users
The target audience of Jina ColBERT v2 is global information retrieval and AI application developers, especially those professionals who need to process multilingual data and long text data. This model can significantly improve the efficiency and accuracy of retrieval tasks, while reducing storage and computing costs, and is very suitable for enterprises and research institutions that need to perform large-scale text analysis and retrieval.
Examples
Quickly search for relevant documents in multilingual document libraries.
Efficient information retrieval in long text datasets.
Enable efficient reordering tasks in cross-language queries and document matching.
Quick Access
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