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Perplexity

The Perplexity component extends the Generic LLM component by adding real-time web search capabilities. It searches the internet for relevant information and provides both a summarized response and the source URLs used for research.

Credit Cost​

Same as Generic LLM.

Usage​

The Perplexity component inherits most functionality from the Generic LLM component but specializes in online research tasks. It has multiple input handles for text variables and two specific output handles:

  1. Summary: Outputs the summarized findings and analysis
  2. Sources: Outputs a JSON array of URLs used as sources

Common use cases include:

  • Real-time research and fact-checking
  • Market and competitor analysis
  • News summarization
  • Technical documentation compilation
  • Trend analysis and reporting

Variable Handling​

Identical to Generic LLM, with variables being used in the prompts to specify what to research.

Properties​

Inherits all properties from Generic LLM.

Output Format​

Summary Output Handle​

Outputs a text summary of the findings, including:

  • Key information discovered
  • Analysis and insights
  • Relevant facts and figures
  • Synthesized conclusions

Sources Output Handle​

Outputs a JSON array of URLs used as sources:

[
  "https://example.com/article1",
  "https://example.com/research-paper",
  "https://example.com/news-story"
]