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Query matching: embed query and match to top-K chunks #12

@prmsregmi

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@prmsregmi

Develop functionality to embed a user query into a vector and then compare it against the embedded chunks of text to retrieve the top-K most semantically similar chunks. This will enable targeted information retrieval from large documents.

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