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I've been playing with using documents as OpenAI embeddings for the past weeks and, at least for my use case, the results are meh. It seems sometimes just using context is not enough.

My next step is to play with fine tunning, but I have no results to report yet.



Try using InstructXL for embeddings. It’s got a more complex prompt structure for generating embeddings which might be more useful


have you tried other models to generate embeddings? I am going to that direction too to create an additional layer of helpers for search. Also, thinking if the document is not too big, it might fit into the initial context with the prompt


If the documents are large, try embedding smaller portions. If there's a heavy domain vocabulary, you might need a custom model.


I'd be very interested in knowing the outcome. Do you blog anywhere (or post on social)?




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