# High-dimensional Feature Extraction

Snowflake Arctic Embed v2.0 is a multilingual sentence embedding model that supports text feature extraction and sentence similarity calculation for over 100 languages.

KoE5 is a Korean text retrieval model fine-tuned based on intfloat/multilingual-e5-large, demonstrating outstanding performance in Korean text retrieval.

Snowflake Arctic Embed L is a model focused on sentence similarity and feature extraction, suitable for various natural language processing tasks.

Jina Embeddings V2 Base is an efficient English text embedding model capable of converting text into high-dimensional vector representations, suitable for various natural language processing tasks.