Hello everyone,
I’ve started using an embedding API model and understand the basic process of extracting embeddings. However, I’m wondering if analyzing the results always requires mathematical functions to code (like similarity or distance calculations), as I’d prefer to delegate these tasks to the API service.
Are there any API models or integrated tools that could perform this analysis directly, so I don’t need to code the comparison functions? My goal is to avoid duplicates when adding new data to an existing database.
Thanks in advance for any advice and recommendations!