AI Agents

Summarize long texts intelligently with AI enhancement

9 nodes 230 129 Automatic trigger

Workflow Description

An automation workflow that splits lengthy documents into manageable chunks, summarizes each using OpenAI language models, and enriches results with contextual information from Search API to produce comprehensive and accurate summaries.

How it works

1.Trigger the workflow manually and input the text to process
2.Divide text into appropriately sized segments using recursive character splitting
3.Process each chunk through an OpenAI-powered summarization chain
4.Retrieve related information via Search API to enhance context
5.Generate consolidated summary with organized reference notes

Use cases

Automatically summarize lengthy reports, articles, and documentation
Extract key insights from multi-page research papers and books
Enrich content with verified information for improved accuracy

Requirements

Active OpenAI account with valid API key and sufficient credits
Compatible search engine API such as Tavily, SerpAPI, or similar service

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.

Apps Used

LLM Chain Text Splitter Search Api OpenAI

Details

Trigger Automatic trigger

Nodes 9

Apps 4

Downloads 129

How to Use

1.Click "Download Template"
2.Open your n8n dashboard
3.Go to Workflows > Import from File
4.Select downloaded file and configure credentials

Nodes Used (9)

When clicking ‘Test workflow’

Manual Trigger

Summarization Chain

Chain Summarization

Recursive Character Text Splitter

Text Splitter Recursive Character Text Splitter

Split Out

Summarize

Sticky Note

Sticky Note1

Sticky Note

SearchApi

Search Api

OpenAI Chat Model

OpenAI

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