Perplexity
Tools & ProductsAn AI-powered search engine that answers questions with cited sources — combining the conversational nature of ChatGPT with the citation rigor of traditional search.
Perplexity represents a new category: AI-native search. Instead of returning 10 blue links, it reads multiple sources, synthesizes an answer, and cites every claim. You get a direct answer with verification, not a list of pages to read.
The platform combines web search (finding relevant sources), RAG (retrieving and processing source content), and LLM generation (synthesizing a coherent, cited answer). It supports follow-up questions, maintaining context across a research thread.
Perplexity answers by searching and citing rather than by generating from weights alone, which makes the sources checkable. Checkable is not the same as verified: the citations show where an answer came from, and reading them is still the reader's job.
Real-World Example
Perplexity answers your question by reading multiple web sources and synthesizing a cited response — every claim links to its source so you can verify.
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What is Perplexity?
An AI-powered search engine that answers questions with cited sources — combining the conversational nature of ChatGPT with the citation rigor of traditional search.
How is Perplexity used in practice?
Perplexity answers your question by reading multiple web sources and synthesizing a cited response — every claim links to its source so you can verify.
What concepts are related to Perplexity?
Key related concepts include RAG (Retrieval-Augmented Generation), Semantic Search, Grounding. Understanding these together gives a more complete picture of how Perplexity fits into the AI landscape.