I have an experiment that you can reproduce: use a search API (e.g., Brave or Duckduckgo) and for each result, ask a local LLM to rate it as useful or not usefu

I have an experiment that you can reproduce: use a search API (e.g., Brave or Duckduckgo) and for each result, ask a local LLM to rate it as useful or not useful, then I fetch the entire web pages of ‘useful’ results and ask for summaries made considering the original search query. I like to look at these summaries, and I take one more pass asking for the concatenated summaries to be summarized as a group, asking for concise and de-duplicated final summary. Anyway, I enjoy playing with this and because I am using my own little Python scripts, I can switch models and hack in it easily.