Snowflake Launches Text-Embedding Model for Retrieval Use Cases

Quickstart: <a href="https:&#x2F;&#x2F;quickstarts.snowflake.com&#x2F;guide&#x2F;asking_questions_to_your_own_documents_with_snowflake_cortex&#x2F;index.html#0" rel="nofollow">https:&#x2F;&#x2F;quickstarts.snowflake.com&#x2F;guide&#x2F;asking_questions_to_...</a>

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.<p><a href="https:&#x2F;&#x2F;huggingface.co&#x2F;spaces&#x2F;mteb&#x2F;leaderboard" rel="nofollow">https:&#x2F;&#x2F;huggingface.co&#x2F;spaces&#x2F;mteb&#x2F;leaderboard</a><p>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

Wow, shows very good performance on my wikipedia dataset. Incredible that companies are open sourcing so much good stuff. Hope this trend continues.