This n8n workflow orchestrates a sophisticated AI-powered chat and document management system, integrating multiple AI models, voxel databases, and cloud services for seamless communication, data processing, and knowledge extraction. Designed for customer support or content management, it automates responses, document analysis, and conversation history handling.
The workflow initiates with scheduled triggers and webhook inputs, then manages conversations via OpenAI and Langchain models, leveraging Supabase for database storage, vector embeddings, and real-time chat memory. It processes documents including PDFs and Excel files for text extraction, summarization, and embedding, enabling advanced search capabilities and knowledge management.
Additional nodes handle voice synthesis with ElevenLabs, text classification, and dynamic decision-making with switch nodes. The system maintains conversation context, detects when human intervention is needed, and updates various database tables for chat, customer info, and files. These operations are interconnected with conditional logic, loops, and external API calls, making it highly adaptable for customer service, AI content generation, and document-oriented tasks.
This workflow exemplifies automation for intelligent chatbots, document analysis, and multimedia content generation, transforming raw data into structured insights and engaging interactions.
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