Perplexity Sonar Chat
Perplexity Sonar Chat is a conversational AI model built specifically for real-time, web-grounded dialogue. Unlike generic LLMs, it retrieves live information from the web during inference and weaves citations directly into its responses, making it well-suited for questions where freshness and source attribution are essential.
Positioned as a chat-first interface to Perplexity's search infrastructure, Sonar Chat balances fluent conversation with factual grounding. It works best for research-style back-and-forth where users iterate on a topic and need accurate, cited answers rather than probabilistic completions.
Key Features
Real-time web retrieval integrated into every response
Inline source citations for factual claims
Conversational multi-turn dialogue with memory of context
Designed for iterative research and follow-up questioning
Reduces hallucination on current-events and time-sensitive topics
Concise, readable summaries from multiple web sources
Ideal Use Cases
Current events research and news summarization
Fact-checking claims against live web sources
Product research and comparison with up-to-date pricing
Academic topic overviews with linked references
Business intelligence gathering on recent developments
Example Prompts for Perplexity Sonar Chat
Technical Specifications
| Provider | Perplexity |
| Category | Search |
| Modality | Text -> Text (web-grounded) |
Frequently Asked Questions
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