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Azure AI FoundryWorking

In Azure AI Foundry's "on your data" (RAG) with Azure AI Search, what is the role of a vector (embedding) field in the index?

A

It enables semantic similarity retrieval by comparing query and chunk embeddings

B

It is required only for keyword (BM25) search

C

It stores the raw document bytes for download

D

It caches the LLM's final answer for reuse

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