Automated AI Chatbot Utilizing Google Drive Files and OpenAI

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This n8n workflow automates the creation of an AI-powered chatbot that leverages content stored in Google Drive files. It consists of two main parts: first, it detects when files are uploaded or updated in a designated Google Drive folder. It then downloads these files, splits them into manageable chunks, and converts them into vector embeddings using OpenAI’s embedding models. These embeddings are stored in-memory for quick retrieval.

The second part sets up a webhook to receive user questions. When a question is received, the workflow processes the input, retrieves relevant knowledge chunks from the vector store, and uses OpenAI’s GPT-4 model to generate precise, context-aware responses. The system uses a token-based authentication process to secure requests and then quickly sends the AI-generated reply back to the user through a chat platform.

This workflow is highly practical for knowledge bases, customer support, and FAQ automation, allowing users to query your documents directly and get accurate answers powered by AI, without manual intervention.

Node Count

>20 Nodes

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.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStoreInMemory, code, googleDrive, googleDriveTrigger, httpRequest, set, stickyNote, webhook

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