# High-dimensional vector encoding

Jina Embeddings V3 is a multilingual sentence embedding model supporting over 100 languages, focusing on sentence similarity calculation and feature extraction tasks.

This is a text encoder based on stella_en_1.5B_v5 and further fine-tuned for Polish information retrieval tasks, specifically optimized for Polish information retrieval.

This is a Turkish text embedding model based on sentence-transformers, which maps sentences and paragraphs to a 768-dimensional vector space, suitable for semantic search and similarity calculation tasks.