Neighborhood Safety Insights Workflow

The “Neighborhood Safety Insights” workflow is designed to analyze and manage neighborhood safety data using advanced AI models integrated with n8n automation. The process begins with a webhook trigger that receives input data, such as neighborhood details or safety reports. This data is then split into manageable chunks by a text splitter node. Each chunk is processed to generate embeddings via Hugging Face’s AI service, which are stored in a Redis vector database for efficient retrieval.

When a new query or safety inquiry is made, the workflow retrieves relevant data from Redis, utilizes language models from Anthropic, and applies an AI agent to interpret and define the safety insights. The results are logged into a Google Sheets document for record-keeping and further analysis.

This workflow is ideal for city planners, community safety organizations, or real estate professionals who want an automated way to analyze and log neighborhood safety insights based on diverse textual data. It leverages AI for understanding complex safety reports and consolidates insights into a centralized log for ongoing monitoring and decision-making.