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  1. Red Hat Enterprise Linux AI
  2. RHELAI-3639

qna yaml guidance for dealing with large input size

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    • Qna yaml guidance for dealing with large input size for end user
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      Goal:

      For customers with large input data, write a tool to create qna yaml based on

      1. use case description - example parts use case for Dell
      2. High level domains they care about -  part_number, part_name, product_hierarchy, part_substitutions etc
      3. a tool should only retrieve documents based on high level domains related to the use case description 
      4. auto generate qna for these high level domains

       

      Acceptance Criteria:

      • sdg generated with the qna passes user's success criteria  for the use case

       

       

              Unassigned Unassigned
              rh-ee-asaluja Aditi Saluja
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