54Users ask vague, underspecified questions your RAG can't answer well. How do you handle query understanding and clarification?▼mediumGleanPerplexitySierra1 replies◆ premiumReal users type 'what about the new policy?' with no context. Retrieving on those four words returns noise. Here is how strong systems disambiguate before they ever hit the retriever.Open full answer →
26Design an AI-powered search engine for a large e-commerce catalog.▼hardAmazonGoogleMicrosoft2 replies◆ premiumE-commerce search is where retrieval, ranking, and business goals collide, and it carries a hard exact-match requirement (brand, size, SKU). The signal is query understanding plus hybrid retrieval plus business-aware ranking. Here is the design.Open full answer →
43Design a query understanding system for search.▼hardGoogleAmazonMicrosoft1 replies◆ premiumQuery understanding is the front end of search that turns a raw query into structured intent. Get it wrong and even a perfect index returns garbage. The signal is the pipeline and how you measure it. Here is the design.Open full answer →