Snowflake Arctic Embed M v2.0 is a medium-sized text embedding model trained by Snowflake. It excels at sentence similarity, semantic search, and retrieval tasks and performs strongly on the MTEB benchmark. The model is part of the Arctic embedding family and is suitable for RAG systems, recommendation engines, and knowledge base search.
Snowflake Arctic Embed M is a Foundation models & chat product. It focuses on creating high-quality embeddings for semantic search and retrieval-augmented generation. Snowflake Arctic Embed M is an open-source project aimed at developers. The project is open source (Open Source). 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. Among its 3 catalogued features are text embeddings, sentence similarity, and MTEB benchmark.
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