This n8n workflow automates the extraction, summarization, and analysis of YouTube playlist and video transcripts. Starting from user chat input, it detects URLs, fetches video or playlist data, and uses advanced AI models like Google Gemini for summarization and embedding. The system stores embeddings in Qdrant for efficient retrieval, enabling interactive Q&A and comprehensive content summaries. Practical for content creators and researchers, this workflow enhances understanding of lengthy videos without watching them, streamlining information extraction and virtual content review.
AI Workflow for YouTube Content Summarization & Analysis
| Node Count | >20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsGoogleGemini, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.outputParserStructured, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStoreQdrant, code, httpRequest, if, limit, merge, n8n-nodes-youtube-transcription-dmr.youtubeTranscripter, redis, set, splitOut, stickyNote, summarize, switch |
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