Automate Neighborhood Safety Insights with AI and n8n
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This n8n workflow leverages AI to analyze neighborhood safety data. It uses Langchain's vector store capabilities to ingest, query, and retrieve insights, then logs them to Google Sheets.
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About This Workflow
Overview
This n8n workflow is designed to automate the process of gathering and analyzing neighborhood safety information. It starts by receiving data via a Webhook, then splits it into manageable chunks using the Splitter node. These chunks are then converted into embeddings using HuggingFace's Embeddings node and stored in a Redis vector store by the Insert node. When a query is made (implicitly through the Agent node), the Query node retrieves relevant safety insights from Redis, which are then processed by an Anthropic Chat model via the Agent. Finally, the insights are logged to a Google Sheet for easy review. This workflow solves the problem of manually collecting and analyzing scattered neighborhood safety data, providing a scalable and automated solution for real estate professionals or community safety enthusiasts.
Key Features
- Real-time data ingestion via Webhook
- AI-powered text splitting and embedding
- Efficient storage and retrieval using Redis Vector Store
- Advanced querying and insight generation with Langchain Agent and Anthropic Chat
- Automated logging to Google Sheets for reporting and analysis
How To Use
- Configure the
Webhooknode to receive incoming neighborhood safety data. - Set up the
Splitternode with appropriatechunkSizeandchunkOverlapfor your data. - Connect your HuggingFace API credentials to the
Embeddingsnode. - Configure the
InsertandQuerynodes with your Redis credentials and theindexName'neighborhood_safety_insights'. - Ensure your Google Sheets API credentials are set up for the
Sheetnode and specify yourSHEET_IDandLogsheet name. - Define the prompt for your AI agent in the
Agentnode, referencing the input data and available tools. - Trigger the workflow by sending data to the configured Webhook URL.
Apps Used
Workflow JSON
{
"id": "295f19ac-3d7c-4d7d-aee3-daf0c6ef2bbc",
"name": "Automate Neighborhood Safety Insights with AI and n8n",
"nodes": 0,
"category": "AI & Automation",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 295f19ac-3d7c...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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