YouTube Video Summarizer with LangChain
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Summarize YouTube videos and generate example questions using LangChain and SearchAPI.
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About This Workflow
Overview
This workflow demonstrates how to leverage LangChain within n8n to process YouTube videos. It fetches video transcripts, splits them into manageable chunks, and uses an AI language model to generate a concise summary along with example questions and their answers.
Key Features
- Fetches YouTube video transcripts using SearchAPI.
- Splits long transcripts into smaller chunks for processing.
- Utilizes LangChain's summarization chains for efficient summarization.
- Generates a textual summary of the video.
- Creates example questions and answers based on the video content.
- Integrates with OpenAI's language models.
- Includes error handling for API key missing.
How To Use
- Import this workflow into n8n.
- In the 'LangChain Code' node, replace
<YOUR API KEY>with your actual SearchAPI.io API key. - Ensure you have configured an OpenAI API credential in n8n and select it in the 'OpenAI Chat Model' node.
- Set the desired YouTube
videoIdin the 'Set YouTube video ID' node. - Execute the workflow manually.
Apps Used
Workflow JSON
{
"id": "7fd8800c-84e5-45d4-97b5-2556137bda7f",
"name": "YouTube Video Summarizer with LangChain",
"nodes": 0,
"category": "AI & Machine Learning",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 7fd8800c-84e5...
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