Hey!
I‘ve been using Pinecone for a bit and it works great!
However, I have a use case for which I didn‘t find anything in the documentation: Essentially I have a spectrum of statements and want to find contradictions in it. Inspired by Four-valued logic - Wikipedia and Catuṣkoṭi - Wikipedia
Now, in this prototype of an experiment I‘m envisioning, I would not only need the best matches (i.e. what we can already get through top_k), but also the worst ones. So that I input an embeddings vector and get the existing embedding IDs from Pinecone where the cosine similarity score is as low as possible. Is that possible somehow?