“because you typically fix like a top K value when you do…” — Practical AI at 27:44
“because you typically fix like a top K value when you do embedding-based lookup, and you would get back very specific context. But sometimes you really want the language model to go through all the different contexts within your data. So a vector index storing it with embeddings would create a query interface where…”
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