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Keyword search is useful for exact names, codes, and phrases. Semantic retrieval can help when a query and document express related ideas with different wording. Hybrid systems combine signals, but the best mixture depends on the collection and user tasks. Ranking decides which candidates appear first. It can consider relevance, freshness, quality signals, and user permissions. A learned ranker still needs evaluation against real queries, including uncommon terms and documents that have recently changed. A generated answer adds another layer. Check whether its claims are supported by the retrieved material and whether citations point to the relevant passages. A citation to a broadly related page is weaker evidence than a passage that directly establishes the claim. Design for correction and exploration. Show useful result titles, snippets, dates, and sources; preserve a way to inspect the underlying documents. Test empty results, conflicting sources, spelling variation, and queries that require an exact match. Measure whether users complete their task, not merely whether they click a result.