Cohere Launches Embed 4
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Cohere Launches Embed 4
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Re: Cohere Launches Embed 4
#2Re: Cohere Launches Embed 4
#3For example, Google's model only supports 30 text tokens [1]!!
This is definitely a welcome addition.
Any pointers to similarly powerful embedding models? I'm looking specifically for text and images? I wish there'd be also one that could do audio and video, but I don't think that exists.
[1] https://cloud.google.com/vertex-ai/generative-ai/docs/embedd...
Re: Cohere Launches Embed 4
#4Re: Cohere Launches Embed 4
#5I really like the approach Nomic take: their most recent models are available via their API or as open weights for non-commercial use only (unless you buy a license). They later relicense their older models under Apache 2.0 licenses.
This gives me confidence that I can continue to use my calculated vectors in the future even if Nomic's model is no longer available because I can run the local one instead.
Nomic Embed Vision 1.5 for example started out as CC-BY-NC-4.0 but was later relicensed to Apache 2.0: https://www.nomic.ai/blog/posts/nomic-embed-vision
Re: Cohere Launches Embed 4
#6Seems to under-perform voyage-3-large on the same benchmark. At the same time, I'm unsure how useful benchmarks are for embeddings.
Re: Cohere Launches Embed 4
#7Re: Cohere Launches Embed 4
#8Seems to under-perform voyage-3-large on the same benchmark. At the same time, I'm unsure how useful benchmarks are for embeddings.
Anecdotal evidence points to benchmarks correlating with result quality for data I've dealt with. I haven't spent a lot of time comparing results between models, because we were happy with the results after trying a few and tuning some settings.
Unless my dataset lines up really well with a benchmark's dataset, creating my own benchmark is probably the only way to know which model is "best".
Re: Cohere Launches Embed 4
#9Re: Cohere Launches Embed 4
#10I just started to look into multi-modal embedding models recently, and I was surprised how few options there are. For example, Google's model only supports 30 text tokens [1]!! This is definitely a welcome addition. Any pointers to similarly powerful embedding models? I'm looking specifically for text and images? I wish there'd be also one that could do audio and video, but I don't think that exists. [1] https://clou…