Automated Company Document Q&A System

This n8n workflow automates the process of managing, embedding, and retrieving company documents stored in Google Drive to facilitate intelligent Q&A interactions. When a file is created or updated in a designated Google Drive folder, the document is automatically downloaded, split into manageable chunks, and embedded using Google Gemini’s language models. These embeddings are then stored in a Pinecone vector database, enabling efficient similarity search. The workflow supports user queries by retrieving relevant document segments through vector similarity and utilizing advanced AI models to generate precise, context-aware responses about company policies or information. This setup is ideal for creating a dynamic, AI-powered company knowledge base that responds accurately to employee or stakeholder questions.