Snowflake Arctic Embed M is a medium-sized text embedding model trained to perform well on the MTEB benchmark. It is designed for high-accuracy semantic search, retrieval, and clustering tasks. The model is compatible with sentence-transformers and can be used in any embedding-based application.
Snowflake Arctic Embed M sits in PulseGate's Foundation models & chat category. It focuses on creating high-performance text embeddings for retrieval-augmented generation and semantic search applications. It is built as an open-source project for developers building RAG and search systems. Snowflake Arctic Embed M is open source under the Open Source license. The product ships for the web, embeddable surfaces, and API.
Behind Snowflake Arctic Embed M is Snowflake, and the product first shipped in 2024. Key capabilities include Text Embeddings, MTEB Benchmark, and Sentence Similarity. It exposes integrations via a public API.
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