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Snowflake Launches Text-Embedding Model for Retrieval Use Cases

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Snowflake Launches Text-Embedding Model for Retrieval Use Cases

#1

Post by xkgt » Thu, Apr 25, 2024, 11:27 PM UTC

Snowflake Launches Text-Embedding Model for Retrieval Use Cases
snowflake.com

Re: Snowflake Launches Text-Embedding Model for Retrieval Use Cases

#2

Post by [deleted] » Fri, Apr 26, 2024, 12:26 AM UTC

[deleted]

Re: Snowflake Launches Text-Embedding Model for Retrieval Use Cases

#3

Post by rawgabbit » Fri, Apr 26, 2024, 1:12 AM UTC

Quickstart: https://quickstarts.snowflake.com/guide/asking_questions_to_...

Re: Snowflake Launches Text-Embedding Model for Retrieval Use Cases

#4

Post by dar8919 » Fri, Apr 26, 2024, 4:27 AM UTC

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

Re: Snowflake Launches Text-Embedding Model for Retrieval Use Cases

#5

Post by unraveller » Fri, Apr 26, 2024, 9:46 AM UTC

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

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

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