alessandrobenedetti commented on PR #12314:
URL: https://github.com/apache/lucene/pull/12314#issuecomment-1563074046

   > Would be nice to get yours and other's ideas on them:
   > 
   > 1. Is the main usage for breaking a long text into several paragraphs? Or 
is it also to search across several different fields (e.g. [embedding_of_title, 
embedding_of_content]) where we create a single graph for several fields?
   I would say the first, I have seen examples of that, especially when the 
large language model chosen by the customer has a limit in input tokens smaller 
than the document length for the customer.
   A single graph over several fields would be the equivalent of a catch-all 
field for the lexical search, it was not my primary focus but should be doable 
once we have multi-valued fields.
   > 2. Would it be possible to retrieve which vector was the closest match? 
For example, if we break a long text into paragraphs and want to highlight 
which paragraph was the closest match. This could be crucial for some use cases.
   I agree, that can be a nice addition to the explain!
   
   I guess attaching metadata to vectors is a different story, but I agree it 
could be a good idea!


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