This n8n workflow automates the process of managing documents with AI integration, enabling smart retrieval, summarization, and interaction via a chat interface. It starts with Google Drive folder monitoring for new or updated files, downloads and processes documents to extract text, and creates vector embeddings stored in a database for semantic search. When users interact through chat, the system uses OpenAI’s language models to generate context-aware responses, retrieve relevant documents, and support tasks like scheduling appointments or updating user data. This workflow is ideal for organizations that want an intelligent, automated document handling and conversational agent within their digital ecosystem, enhancing customer support or internal document management.
AI-Powered Document Management and Chatbot Workflow
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryPostgresChat, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolHttpRequest, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.toolWorkflow, @n8n/n8n-nodes-langchain.vectorStoreSupabase, extractFromFile, googleDrive, googleDriveTrigger, set, stickyNote, supabase |
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