Automated Zoning Regulation Analysis with n8n

This workflow automates the process of analyzing zoning regulations using AI and data storage. It starts with a webhook trigger where users submit zoning-related queries or documents. The input is split into manageable chunks, then embedded using OpenAI’s embeddings to convert the text into vector form. These vectors are stored in a Redis-based vector database for quick retrieval. When a query is received, the system searches the vector database for relevant information, which is then processed by an AI language model to generate an insightful response. The workflow includes an agent that formulates the answer, logs the conversation into Google Sheets, and utilizes LangChain nodes for advanced AI and vector operations. This setup is useful for real estate developers, urban planners, or legal teams needing efficient zoning regulation compliance checks or information retrieval.