I've struggled to explain to folks about how vector semantic is different from text search.. finally found somone who explained this so clearly. Thanks, enjoyed this highly informative session.
Ai search + open ai seems to give different answers for same user prompts. Even the chunks returned for answering seem different based on citations even for same prompt. What causes this? Facing issues with consistency of outputs.
I've written up a guide to debugging answer variance here: github.com/Azure-Samples/azure-search-openai-demo/blob/main/docs/customization.md#improving-answer-quality ...that's specific to that repo but is also a general approach for other RAG apps. Does that help?