Sutin: Bee replaced traditional RAG embeddings with massively parallel small models
Ethan Sutin · Bee AI: The Wearable Ambient Agent · Feb 17, 2025 · at 58:41
Bee co-founder Ethan Sutin explains why Bee built a custom retrieval architecture using small models rather than standard embedding RAG.
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“What we've learned is, like, doing the traditional, like, embedding and RAG is suboptimal. We kind of built our own using small models to do really massively parallel retrieval, which I think is going to be maybe more common in the future.”
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