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Jina Embeddings V3

Developed by Daxtra
Jina Embeddings V3 is a multilingual sentence embedding model supporting over 100 languages, focusing on sentence similarity calculation and feature extraction tasks.
Downloads 55
Release Time : 1/28/2025

Model Overview

Based on the sentence-transformers architecture, this model can convert text into high-dimensional vector representations, suitable for tasks such as information retrieval, semantic search, and text clustering.

Model Features

Multilingual support
Supports text embeddings for over 100 languages, including major and some niche languages
Sentence similarity calculation
Accurately calculates semantic similarity between different sentences
MTEB benchmark
Performs well on multiple MTEB benchmark tasks

Model Capabilities

Text feature extraction
Sentence similarity calculation
Multilingual text processing
Semantic search

Use Cases

Information retrieval
Cross-lingual document retrieval
Finding semantically similar documents in a multilingual document repository
Semantic search
Multilingual semantic search
Building a semantic search engine supporting multiple languages
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