Ceptile
Interactive Information Discovery

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.

Contextual Query Expansion

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.

Thread State Isolation

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.

Adaptive Retrieval Routing

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.

Cumulative Citation Trails

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.