The decisions, trade-offs, and insights shaping how companies deploy AI search.
If an AI response is wrong, which layer broke? Execution traces give you complete visibility into every step between a user's query and the response they received, turning AI debugging from guesswork into root cause analysis.
Your docs content is usually there. Users just can't find it. Here are five signs your documentation site has outgrown keyword search and how AI search closes the gap between how authors organize content and how users look for it.
If your mental model of AI chat is still a keyword-matching FAQ bot, it's time to update. Modern AI chat understands natural language, maintains multi-turn context, and delivers rich responses grounded in your actual content.
Site search visitors are your highest-intent users. AI search helps them find what they need by understanding natural language queries, generating rich responses, and turning browsing into buying.
Most companies start with a single AI provider. The problem isn't starting with one — it's building your entire system around one with no ability to switch. Here's how to architect for flexibility.
AI search and chat exist on a spectrum from full autonomy to tight constraints. The right answer is almost always both, depending on the query. Here's how to decide which mode for what.
Deciding between a hosted SaaS search product and an open-source solution you can self-host? Here's how to think through the trade-offs around data, budget, compliance, and engineering capacity.
Your site search data reveals what visitors actually want, in their own words. Learn how to use search analytics to uncover content gaps, language mismatches, and conversion insights that traditional analytics miss.
Nobody budgets for bad search. It doesn't show up as a line item. But it quietly costs you money every day — in lost revenue, inflated support costs, wasted content, and invisible churn. Here's how to measure it and what to do about it.
Traditional search matches words. Vector search matches meaning. That distinction sounds small, but it changes everything about what your users can find. Learn how hybrid search combines the precision of keywords with the intelligence of semantic understanding.
Chat is the future, search is the past — right? Wrong. Search and chat solve fundamentally different problems. Learn why the best AI experiences use both, and how unified analytics across channels reveals the full picture of customer intent.
When you put AI in front of your customers, a wrong answer isn't just annoying — it's a liability. Learn how grounded AI search eliminates hallucinations by constraining responses to your indexed data, with source citations and full execution traces.
