Automated Safety Incident Alerts with AI and Redis
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Streamline your safety incident response with this n8n workflow. It leverages AI to process incident data, store it in Redis for quick retrieval, and automatically log critical alerts to a Google Sheet.
About This Workflow
This n8n workflow, named 'Safety Incident Alert', is designed to automate the handling of safety-related incidents. Upon receiving an incident alert via a webhook, the workflow intelligently processes the incoming data. It first splits the content for efficient analysis, then generates embeddings using Hugging Face's AI models. These embeddings are stored in Redis, creating a searchable vector database for incident history. The workflow also incorporates an AI agent capable of querying this database and maintaining conversation context for more sophisticated incident analysis. Finally, all critical alerts are logged to a designated Google Sheet for comprehensive tracking and auditing. This solution enhances operational efficiency and ensures timely awareness of safety concerns.
Key Features
- Real-time Incident Ingestion: Captures safety incident data as it happens via a webhook.
- AI-Powered Analysis: Utilizes AI for intelligent processing and understanding of incident details.
- Vectorized Data Storage: Employs Redis to store incident embeddings for fast and efficient querying.
- Intelligent Agent: An AI agent that can interact with incident data and maintain context.
- Automated Logging: Seamlessly logs critical alerts to a Google Sheet for easy oversight.
How To Use
- Configure Webhook: Set up the 'Webhook' node to receive incoming safety incident data at the specified path (
safety_incident_alert). - AI Integration: Ensure your Hugging Face API credentials are set up for the 'Embeddings' node. For chat capabilities, configure the 'Chat' node with your desired AI model.
- Redis Setup: Connect your Redis account and configure the 'Insert' and 'Query' nodes with your desired index name ('safety_incident_alert'). This will manage your incident data vector store.
- Agent Configuration: Define the agent's behavior by configuring the 'Agent' node, linking the 'Tool' (Redis query) and 'Memory' nodes.
- Google Sheets Integration: Set up your Google Sheets OAuth2 credentials and specify your Sheet ID ('SHEET_ID') and sheet name ('Log') in the 'Sheet' node to automatically append incident logs.
Apps Used
Workflow JSON
{
"id": "91d0f2c6-04fd-4b3a-96b3-3e33e0cbbb8b",
"name": "Automated Safety Incident Alerts with AI and Redis",
"nodes": 29,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 91d0f2c6-04fd...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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