This n8n workflow automates comprehensive document handling and AI-driven content management across various platforms. It begins with triggers from Google Drive for new or updated files, then processes documents in multiple formats such as Word, PDF, and Google Docs. The workflow extracts, formats, and uploads document contents to Google Docs or databases like Supabase, ensuring data relevance and freshness. Integrating OpenAI’s language models, it performs tasks like translation, content inference, and question answering, facilitating intelligent interaction with users via Telegram. The system also manages vector embeddings stored in Supabase for advanced retrieval and AI-powered data analysis. Designed for complex content workflows, this setup supports content update automation, multi-language handling, and AI-enabled knowledge management, useful in scenarios like content updates, multilingual support, and AI-enhanced customer interactions.
Automated Multi-Source Document Processing & AI Integration
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryPostgresChat, @n8n/n8n-nodes-langchain.outputParserStructured, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolWorkflow, @n8n/n8n-nodes-langchain.vectorStoreSupabase, aggregate, executeWorkflowTrigger, extractFromFile, filter, googleDocs, googleDrive, googleDriveTrigger, googleSheets, googleSheetsTool, httpRequest, if, manualTrigger, merge, postgresTool, scheduleTrigger, set, splitInBatches, stickyNote, supabase, switch, telegram, telegramTrigger, wait |
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