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Congrats on the launch, @ukuina! Neat idea. Would love to learn more about how you are querying the summaries/comments database and how you are planning to extend the queries in this app.

Shameless self-plug: We are building EvaDB [1], a query engine for shipping fast AI-powered apps with SQL. Here is an illustrative query for analyzing food reviews stored in Postgres and generating responses for negative reviews:

  SELECT ChatGPT("Respond to the review with a solution to address the reviewer's concern", review)  
  FROM postgres_data.review_table  
  WHERE ChatGPT("Is the review positive or negative? Only reply 'positive' or 'negative'.", review) = "negative"
      AND location = “waffle house”;

It would be interesting to learn about the queries needed for supporting HackYourNews application. Would love to exchange notes on this if you're up for it!

[1] https://github.com/georgia-tech-db/evadb

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SELECT ChatGPT("Respond to the review with a solution to address the reviewer's concern", review) FROM postgres_data.review_table WHERE ChatGPT("Is the review positive or negative?", review) LIKE "%positive%" AND location = “waffle house”;