This document explains the Summarizer node, which condenses large texts into concise summaries using AI.

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Node Inputs

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Required Fields

  • Text: Content to summarize (documents, articles, etc.)

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Optional Fields in More Options

  • Choose AI Model: Select your preferred AI model
  • Temperature: Controls summary style (0-1)
    • 0: More focused, factual
    • 1: More creative, varied
  • Cache Response: Save responses for reuse
  • Prompt Template: Customize how the summary is requested

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Show As Input Options

You can expose these fields as inputs:

  • Temperature

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Node Output

  • Summary: Condensed version of input text

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Available AI Models

  • Claude 3.5 Sonnet
  • Claude 3 Haiku
  • OpenAI o1
  • OpenAI o1 mini
  • GPT-4o
  • GPT-4o Mini
  • Gemini 1.5 Pro/Flash
  • And more

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Common Use Cases

  1. Document Summarization:
Input: Long research papers
Output: Key findings and conclusions
  1. News Digests:
Input: Multiple news articles
Output: Brief overviews
  1. Meeting Notes:
Input: Meeting transcripts
Output: Key points and action items

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Loop Mode Pattern

Input: List of documents
Process: Summarize each independently
Result: List of summaries

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Important Considerations

  1. Expert models (OpenAI o1) cost 30 credits, advanced models (GPT-4o & Claude 3.5) cost 20 credits, and standard models cost 2 credits per run
  2. You can drop the credit cost to 1 by providing your own API key under the credentials page
  3. Lower temperature (0-0.3) for factual summaries

In summary, the Summarizer node is your tool for converting long texts into concise, readable summaries while preserving essential information.

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