Sridhar: Vector dot-product RAG breaks down on multi-attribute queries
Mukund Sridhar · Why is everyone cloning Deep Research? · Feb 18, 2025 · at 20:19
Mukund Sridhar, Tech Lead for Gemini Deep Research at Google, breaks down technical limitations of vector search versus long-context LLMs.
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“The tricky thing for RAG, it really works well because a lot of these things are doing like cosine distance, like a dot product kind of a thing, and that kind of gets challenging when your query side has multiple different attributes. The dot product doesn't really work as well. I would say, at least for me, that's my guiding principle on when to avoid drag”
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