Hey Elliot,

Andriy, co-founder at Nomic here! Congrats on Embed v4 - the more embeddings the merrier!

Embed v1.5 is a 1.5 year old model!

You should check out our latest comparable open-weights, multimodal embedding model that's designed for text, PDFs and images! I can't directly say anything about relative performance to Embed v4 as you guys didn't publish evals on the Vidore-V2 open benchmark!

https://www.nomic.ai/blog/posts/nomic-embed-multimodal

Hey Andriy!

We actually did internally run benchmarks against your models since they are open-weights - however, when looking at the license on the 3bn multimodal model (https://huggingface.co/nomic-ai/nomic-embed-multimodal-3b/bl...) we're not permitted to include the results for the marketing of products/services. Rest assured, we know how our model stacks up against yours :)

In any-case, we didn't publish evals on only Vidore-V2 but we did benchmark on it internally.

keep 'em coming!

Nomic | Onsite NYC | Fulltime

https://nomic.ai/careers

- VP Sales & Partnerships

- Customer Success Engineer

- Developer Advocate

- Front End Engineer

Join us and help build the future of how people work with massive amounts of unstructured information.

What do you get to do?

- Help ship billions of embeddings daily to web browsers around the world

- Work closely with a small team of ex-PhD's; professors; world experts in design, web and distributed systems engineering.

- Listen as H100s go brrr training foundational embedding models

- Solve data problems faced by real customers building AI systems

here is a data map of the descriptions, pretty cool: https://atlas.nomic.ai/data/andriy/openai-custom-gpt-data-ma...

Awesome! Thanks for creating and sharing.

yeah, gonna need a few more M's of data work for that unfortunately.

Walkthrough on how to build a semantic search powered