Automated Document Processing and Retrieval Workflow

This n8n workflow automates the process of monitoring, extracting, and utilizing document data stored in Google Drive alongside advanced AI capabilities. Its core purpose is to automatically detect new or updated documents, extract their textual content, generate meaningful context with AI models, and store or retrieve relevant information for subsequent use. The workflow starts by triggering on new or modified files in Google Drive, followed by extracting text from the documents. It then splits the text into manageable chunks, generates contextual responses using OpenAI’s language models, and stores embeddings in a vector database for efficient retrieval. An integrated Retrieval-Augmented Generation (RAG) AI agent can answer queries based on the stored document data, making it highly suitable for scenarios such as knowledge management, intelligent document search, and automated customer support. This automation assists users in maintaining an up-to-date knowledge repository, enabling quick, AI-powered access to relevant information from stored documents in real-time.