Conversational Search
Conversational search transforms search from isolated one-off keywords into an interactive dialogue, retaining conversational context across multi-turn follow-up questions.
How Conversational Search Works
Unlike traditional search where each query resets to zero, conversational search maintains working memory of prior exchanges. Users can drill down with natural follow-ups such as "What are the pricing details for that second option?" or "Can you rewrite this for a non-technical audience?" without repeating context, keywords, or background entities.
Core Pillars of Conversational Search
How Ceptile retains thread context and routes follow-up queries.
Anaphora Resolution
When you ask "How much does it cost?", the engine automatically expands "it" to the specific product, service, or framework discussed in the preceding turn before dispatching web searches.
Session Continuity
Each conversation thread maintains a distinct context graph. Researching physics in one thread won't bias or pollute your financial analysis in another tab.
Incremental Discovery
If the previous answer already contains relevant data, the model synthesizes from existing context; if new facts are requested, fresh live web queries are executed automatically.
Source Lineage Tracking
Citations persist across turns. You can inspect all sources referenced throughout an entire 10-turn session from a unified citation drawer.
Conversational Search FAQ
Common questions on context retention, privacy, and query syntax.