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Snowflake Launches Text-Embedding Model for Retrieval Use Cases

• deleted 2y ago
  [deleted]
• rawgabbit 2y ago
  Quickstart: https://quickstarts.snowflake.com/guide/asking_questions_to_your_own_documents_with_snowflake_cortex/index.html#0 https://quickstarts.snowflake.com/guide/asking_questions_to_...
• dar8919 2y ago
  Wow, shows very good performance on my wikipedia dataset. Incredible that companies are open sourcing so much good stuff. Hope this trend continues.
• unraveller 2y ago
  Alibaba also just released gte-large-en-v1.5 a 434M 1.62GB RAM model scoring 57.91 on retrieval. Beating out the snowflake-large by 2 whole points for +400MB extra RAM. https://huggingface.co/spaces/mteb/leaderboard https://huggingface.co/spaces/mteb/leaderboard looks like we are in for a plataeu with the small embed models with no real performance jumps over the last months. snowflake-arctic-embed-medium being the sweetspot at 410M RAM scoring 54.91