Are embeddings useful for something of the scale compared to just keyword search (aka grep)?
I find that semantic search is substantially better than keyword search even for small corpuses. Being able to find "related" material that doesn't match the keyword is a big advance over traditional full text search.
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I find that semantic search is substantially better than keyword search even for small corpuses. Being able to find "related" material that doesn't match the keyword is a big advance over traditional full text search.