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Mixedbread Search is a multimodal & multilingual search product, where you can upload any kind of data and make it searchable. Its powered by Wholembed [1] v3,
by breadislove 2mo ago
Mixedbread Search is a multimodal & multilingual search product, where you can upload any kind of data and make it searchable. Its powered by Wholembed [1] v3, a late interaction retrieval model.
[1]: https://www.mixedbread.com/blog/wholembed-v3 https://www.mixedbread.com/blog/wholembed-v3
- algoth1 2mo agoso, it works like notebooklm but without relying on RAG?
- monkmartinez 2mo agoI don't think so, but could be wrong. It seems to be a specialized layer like a lora or a merged model. So a RAG-agent-model thingy. No clue if it actually works. I don't understand why I would want to use it.
- breadislove 2mo agoyou can try it here: https://dwarkesh-search-demo.vercel.app/ https://dwarkesh-search-demo.vercel.app/ the thing is most agents waste most of their tokens looking up information which can cause context rot. most small models are not as good as looking up information. this model helps to lookup information for your main agent, which helps you to save tokens and still maintain quality.