snowflake-arctic-embed-m-v1.5 is an embedding model developed by Snowflake for sentence similarity and feature extraction. It is part of the Arctic Embed family and performs well on the MTEB benchmark. The model is compatible with the sentence-transformers library and Transformers.js for use in search, RAG, and semantic applications.
In the Foundation models & chat space, Snowflake Arctic Embed M takes a focused approach. It focuses on generating high-quality dense vector embeddings for semantic search and retrieval applications. It is built as an open-source project for data scientists. Snowflake Arctic Embed M is open source under the Open Source license. Snowflake Arctic Embed M is available on the web, embeddable surfaces, and API.
Behind Snowflake Arctic Embed M is Snowflake, based in the United States, and the product first shipped in 2024. Key capabilities include Text Embeddings, Sentence Similarity, and MTEB Benchmark.
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