Automated Document Processing & AI Analysis Workflow

This n8n workflow is designed to automate the ingestion, processing, and analysis of documents stored in Google Drive, integrating powerful AI models for content understanding, summarization, and retrieval. It begins with monitoring a specific Google Drive folder for new files, automatically downloads the content, and routes files based on their type (PDF or plain text). The workflow then splits large documents into manageable chunks using intelligent overlap and segmentation strategies, preserving context for effective analysis. These chunks undergo embedding creation with OpenAI and Supabase vector store integration, enabling efficient similarity searches. Additionally, the workflow employs advanced language models such as GPT-4 and Google Gemini to generate summaries, answer queries, and perform content analysis, facilitating tasks like document summarization, question answering, and data extraction. Practical use cases include automated document management for legal, academic, or enterprise environments where quick content access and analysis are critical.