Snowflake Arctic Embed L is a large text embedding model developed by Snowflake, optimized for high performance on the MTEB benchmark. It transforms sentences and documents into dense vector representations suitable for semantic search, retrieval-augmented generation (RAG), clustering, and other similarity-based tasks. The model is available on Hugging Face under an Apache 2.0 license for both research and commercial use.
Snowflake Arctic Embed L is a Foundation models & chat project. It focuses on creating high-quality vector embeddings for semantic search and retrieval-augmented generation applications. Snowflake Arctic Embed L is an open-source project aimed at developers and data scientists. Snowflake Arctic Embed L is open source under the Open Source license. Snowflake Arctic Embed L is available on the web, embeddable surfaces, and API.
Behind Snowflake Arctic Embed L is Snowflake, based in the United States, and it first shipped in 2024. PulseGate's similarity index places it among 7 comparable projects. Key capabilities include Text Embeddings, Sentence Similarity, and MTEB Benchmark.
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