Automated Document Summarization from Google Drive with AI
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Streamline your document review process by automatically summarizing content directly from your Google Drive using advanced AI models. This workflow fetches documents, processes them, and generates concise summaries, saving you valuable time.
About This Workflow
This powerful n8n workflow automates the summarization of documents stored in Google Drive. It begins by triggering on user command, then securely accesses a specified Google Drive file. The document content is loaded and processed by LangChain's robust framework, utilizing a cutting-edge OpenAI chat model (GPT-4o-mini) for intelligent comprehension. To ensure optimal processing and avoid token limitations, the document is intelligently split into manageable chunks. Finally, the workflow leverages a summarization chain to distill the key information from your documents into digestible summaries, making information retrieval and analysis significantly more efficient.
Key Features
- Seamless Google Drive Integration: Effortlessly fetch documents directly from your Google Drive.
- Advanced AI Summarization: Utilizes powerful OpenAI models (GPT-4o-mini) for accurate and context-aware summaries.
- Intelligent Document Chunking: Handles large documents by splitting them into manageable segments for efficient AI processing.
- Automated Workflow Execution: Trigger summarization with a simple click, eliminating manual steps.
- Customizable AI Models: Easily adapt to different OpenAI models for varied summarization needs.
How To Use
- Trigger: Click the "Execute Workflow" button to initiate the process.
- Google Drive Node: Configure the "Google Drive" node by providing the
File IDof the document you wish to summarize from your Google Drive and ensure your Google Drive credentials are set up. - OpenAI Chat Model Node: Set up the "OpenAI Chat Model" node with your OpenAI API credentials and select the desired model (e.g.,
gpt-4o-mini). - Data Loader Node: The "Default Data Loader" node will handle loading the document data. Ensure its
dataTypeis set tobinary. - Token Splitter Node: Configure the "Token Splitter1" node with your desired
chunkSizeto manage document length for AI processing. - Summarization Chain Node: The "Summarization Chain" node orchestrates the summarization process using the loaded document and the configured AI model. Its
operationModeshould be set todocumentLoader.
Apps Used
Workflow JSON
{
"id": "c1b0d8ad-7af3-444f-9d3a-ddeafb6e0639",
"name": "Automated Document Summarization from Google Drive with AI",
"nodes": 13,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: c1b0d8ad-7af3...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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