Hi Cory,
I am using an ada embeddings dataset, processed by openai, with 1536 dimension vectors. About 95k vectors total, with 3 or 4 properties tied to each vector. Literally the exact same data. Locally, I am using the cosine_similarity function in the openai python package. Does pinecone potentially truncate the 1536 floats to maybe be float16? They really should be getting the same answers, but they are not. My pinecone search on this dataset is cosine.
Thanks for the help!