This n8n workflow streamlines the process of uploading content from Google Drive to a vector database and integrates a chatbot for interactive Q&A based on the content. It begins by downloading a file from Google Drive, preparing and loading data, and then embedding it using OpenAI. The data is stored in a Supabase vector database, enabling efficient similarity search. When a user sends a question via a webhook, the workflow retrieves relevant information from the vector database and uses an OpenAI language model to generate a context-aware response. This setup is ideal for creating intelligent, content-based chatbots or knowledge bases for WordPress sites, allowing users to ask questions about uploaded documents and receive accurate, AI-powered answers.
Automated Content Upload and Chatbot Integration for WordPress
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainRetrievalQa, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.retrieverVectorStore, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreSupabase, googleDrive, set, stickyNote, supabase |
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