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Perplexity

2 min read

Perplexity

An AI “answer engine”: instead of a list of links it returns a synthesized, cited answer grounded in a live web search. The product is the consumer app, but what I use is the Sonar API — an OpenAI-compatible endpoint that performs retrieval + synthesis in one call and returns the answer with its sources. It’s the pragmatic way to give an agent fresh, factual, attributable information without building your own search+RAG stack.

Description

  • Sonar API — search-grounded completions; the model retrieves and cites as it answers.
  • Citations — every answer carries source URLs, so claims are checkable.
  • Recency — answers reflect the live web, not a training cutoff.
  • Model tiers — Sonar / Sonar Pro / reasoning variants for depth vs cost.
  • OpenAI-compatible — drop-in via the OpenAI SDK with a different base URL.

Download or use

# OpenAI-compatible endpoint
# base_url="https://api.perplexity.ai", model="sonar"

Reasoning for

Perplexity is the factual-research layer in two projects. In Travelcast AI it powers the Historian agent — one of the four parallel research agents — pulling verifiable, cited facts about a destination’s history that then feed the GPT consensus script (OpenAI). In the Jakub Głąb Agent System it backs the /research skill, giving the agent current, attributable answers for briefings. The reason it beats a raw LLM call here: the citations make hallucination auditable, and the live search means the answer isn’t frozen at a training cutoff — both essential when the output is going into something a person will publish or act on.

Alternatives considered

  • OpenAI / Google Gemini with web tools — capable, but Perplexity’s search+cite is purpose-built and lower-friction for pure factual lookups.
  • Firecrawl / Scrapling + own RAG — full control over sources, far more to build and maintain; Perplexity is the managed shortcut.
  • Tavily / Exa — search APIs aimed at agents; comparable, Perplexity adds synthesized cited answers out of the box.
  • Brave/Bing Search APIs — raw results without synthesis; you build the answer layer yourself.

Resources

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