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Research: Experiment with Optimal Reranker and Hybrid Search Params (Top N, Alpha, Top K) #260

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davidgxue opened this issue Jan 11, 2024 · 0 comments
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@davidgxue
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Action Items

  • Experiment with different parameter values for reranker and hybrid search to maximize the potential performance improvement gain
  • If no changes to the current parameter values (top n = 10, alpha = 0.5, top k = 100) yields significant improvements, no implementation or changes to environment variables should be needed.
@davidgxue davidgxue self-assigned this Jan 11, 2024
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