AI-Powered YouTube Playlist & Video Summarization and Analysis
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Automates the summarization and analysis of YouTube playlists and individual videos using AI.
About This Workflow
This workflow leverages AI models to process YouTube content. It can take a YouTube playlist URL or a video URL, extract transcripts, summarize them, and provide a comprehensive overview. The system uses Retrieval-Augmented Generation (RAG) to answer user queries based on the analyzed content and stores embeddings for efficient retrieval.
Key Features
- AI-Powered Summarization: Utilizes Google Gemini models to generate concise and informative summaries of video content.
- Playlist and Video Support: Handles both YouTube playlist URLs and individual video URLs.
- Transcript Extraction: Extracts transcripts from YouTube videos for detailed analysis.
- Structured Output: Generates summaries in a structured markdown format, highlighting key points and technical details.
- Retrieval-Augmented Generation (RAG): Enables users to ask questions about the video content and receive AI-generated answers based on the retrieved information.
- Vector Store Integration: Stores embeddings of the analyzed content in Qdrant for efficient semantic search and retrieval.
- Context Management: Maintains conversation context using Redis to allow for follow-up questions and ongoing analysis.
How To Use
- Initiate Chat: Start a conversation with the n8n chatbot.
- Provide URL: Paste a YouTube playlist URL or a YouTube video URL.
- Receive Summary: The workflow will process the URL, fetch transcripts, summarize them, and provide an overview.
- Ask Questions: Engage in a conversation to ask specific questions about the video content. The AI will use the analyzed summaries to answer your queries.
Workflow Nodes:
Chat Trigger: Listens for incoming user messages.Message Intent: Identifies the user's intent (PLAYLIST, VIDEO, NONE) and extracts URL/ID.Get Previous Context Intent: Retrieves prior conversation context from Redis.Update Context Intent: Saves the current conversation context to Redis.Handle Queries: Processes user queries based on the identified intent and context.Split Out1: Separates individual videos from a playlist.YouTube Transcript: Fetches transcripts for each video.Split Out: Splits transcript data for further processing.Summarize & Analyze Transcript: Generates a concise summary for each video.Edit Fields: Organizes and formats the video data.Merge: Combines video titles with their transcripts.Recursive Character Text Splitter: Chunks text for embedding.Embeddings Google Gemini: Creates vector embeddings for the text.Qdrant Vector Store: Stores embeddings in the Qdrant database.AI Agent: Orchestrates the RAG process for answering user questions.Full Summary: Concatenates individual video summaries into a complete overview.Google Gemini Chat Model2/4: Used for summarization and analysis tasks.Default Data Loader: Prepares data for the vector store.Concatenate: Joins summarized transcripts.
Apps Used
Workflow JSON
{
"id": "92300104-85cb-4dbd-8827-f9aad1917a17",
"name": "AI-Powered YouTube Playlist & Video Summarization and Analysis",
"nodes": 25,
"category": "Content Analysis",
"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: 92300104-85cb...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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