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Coruscate5 avatar Coruscate5 commented on June 30, 2024

Source doc is still included in the metadata - If you choose to use Vector (you should) as a search strategy for RAG, then the embedding model generates 1536 vectors, regardless of content length. So, for both specificity and search optimization, it makes sense to split potential search results into things that would actually be responsive AND not immediately exceed the model's context window

from azure-search-openai-demo-csharp.

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