📢 Announcing the new SOTA voyage-3-large embedding model! • 9.74% over OpenAI and +20.71% over Cohere • flexible dim. (256-2048) and quantizations (float, int8, binary) • 8.56% over OpenAI with 1/24x storage cost • 1.16% over OpenAI with 1/192x storage cost ($10K → $52)

@DozedNutz @helloiamleonie 🥰🥰🥰Thank you so much for the shout out!

@pinecone Seamless setup, optimized performance. Come check it out:

@SnowflakeDB Stay tuned for more guides on using Voyage embeddings in Snowflake!

Voyage text embeddings and rerankers are now available in @Haystack_AI, an open-source AI framework by @deepset_AI !🚀 To get started, check out the Voyage integration page on Haystack: Shout out to @awinml for laying the foundation for this integration!

@lancedb Using this new integration makes it incredibly easy to build, experiment, and scale your AI applications to billions of vectors and beyond. Check out our sample notebook to get started:

@spyced Thank you so much!🥰

RT @spyced: I ran a fresh evaluation of embedding models tuned for semantic retrieval, including the newest models from Voyage, Jina, Coher…

@DozedNutz Thank you so much for your support!

@zhmeishi Welcome to the team! 🥰🥳 We’re thrilled to have you onboard and can’t wait to push boundaries together!

For more details, check out our latest blog post: Start building with @VoyageAI today - the first 200M tokens are on us! We’d also love to support academic retrieval research and benchmarking. Please email us at contact@voyageai.com for more free tokens.