hey guys, I was wondering if anyone has recommendations to use LLamaIndex optimally to perform the following task:

• Make a general query to a forum like reddit
  
  • ex: “Whats the best way to lose weight?”
• For post 1:
  
  • Collect all answers to query (along with “upvote” statistics)
  • Combine similar answers and add up upvotes
    
    • ex API response: { text: ‘Go on a diet’, upvotes: 10 }, { text: ‘Reduce caloric intake’, upvotes: 2 }, { text: ‘Exercise more’, upvotes: 4 }
    • The similar results get combined and the algorithm keeps an updated count of the upvotes
      
      • ex: FINAL_RESULTS = { ‘Eat a healthy diet’: 12 }, { ‘Exercise’: 4 }
• For post 2…n:
  
  • Repeat, adding to the total FINAL_RESULTS set


The challenge I've had is to return accurate counts for FINAL_RESULTS and to have the program successfully merge like answers ("Go on a diet" and "Reduce caloric intake" should be merged into something like "Eat a healthy diet" above.)