3 ms·
You could just write "X topic with Y sentiment similar to foo/<vague-source>" into a search bar. Then, plain old vector distance on your data would find the ch
by skeptrune 3y ago
You could just write "X topic with Y sentiment similar to foo/<vague-source>" into a search bar.
Then, plain old vector distance on your data would find the chunks relevant. No need for generative AI.
citation to prove this works: chat.arguflow.ai / search.arguflow.ai
- SamBam 3y agoThe simple answer is because I don't know how to do a semantic search on a bunch of documents, nor do "plain old vector distances." It's not my field. The longer answer is that I think that it will also be useful to have the background knowledge (however hallucinogenic) that ChatGPT has. I'd like to be able to have a conversation specifically grounded in the papers, and if I ask about a topic that isn't specifically mentioned by those words in the article, I'd like it to be able to say "none of the articles talk about X, but they do mention Y, which is related in this way." I'm not sure if this is expecting too much of it.