When I'm messing around, I normally have everything in a Pandas DataFrame already so I just add embeddings as a column and calculate cosine similarity on the fly. Even with a hundred thousand rows, it's fast enough to calculate before I can even move my eyes down on the screen to read the output.
I regret ever messing around with Pinecone for my tiny and infrequently used set ups.
I regret ever messing around with Pinecone for my tiny and infrequently used set ups.