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AI-Driven RAG Chatbot for Google Drive with n8n Automation

AI-Driven RAG Chatbot for Google Drive with n8n Automation

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AI-Driven RAG Chatbot for Google Drive with n8n Automation

AI-Driven RAG Chatbot for Google Drive with n8n Automation

Regular price £38.99
Regular price £38.99 Sale price
SAVE Sold out

Transform your company's knowledge management with this powerful AI-driven RAG chatbot that automatically answers employee questions using documents stored in your Google Drive. This n8n workflow creates an intelligent assistant that stays current with your latest company information through seamless automation.

What this workflow does

This comprehensive automation solution implements Retrieval Augmented Generation (RAG) technology to create a smart chatbot for your organization:

  • Automated Document Indexing: Google Drive Trigger nodes continuously monitor your specified folder for new files and updates
  • Intelligent Processing: Downloads documents, splits content into optimized text chunks using Recursive Character Text Splitter
  • AI-Powered Embeddings: Generates semantic embeddings using Google Gemini's text-embedding-004 model
  • Vector Storage: Indexes all content in Pinecone Vector Store for lightning-fast retrieval
  • Smart Query Response: AI Agent with Vector Store Tool retrieves relevant information and generates accurate answers using Google Gemini Chat Model

Use cases

  • Employee Onboarding: New hires instantly access company policies, procedures, and documentation
  • HR Support: Automated responses to common questions about benefits, leave policies, and guidelines
  • Technical Documentation: Engineering teams query API docs, deployment guides, and technical specifications
  • Sales Enablement: Sales teams access updated product information, pricing, and competitive intelligence
  • Compliance Management: Ensure teams have current access to regulatory requirements and compliance procedures

Technical details

Built with enterprise-grade n8n nodes and integrations:

  • Google Drive Trigger and Google Drive nodes for document management
  • LangChain Agent, Chat Trigger, and Vector Store Tool nodes
  • Pinecone Vector Store for scalable vector database storage
  • Google Gemini AI for embeddings and chat model responses
  • Default Data Loader and Recursive Character Text Splitter for document processing

Perfect for automation engineers and SaaS operators looking to implement intelligent document-based chatbots with real-time synchronization capabilities.

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