Automated Safety Incident Management Workflow

somdn_product_page

This n8n workflow streamlines the process of handling safety incident reports by capturing, analyzing, and recording incident data automatically. It starts with a webhook trigger to receive incident details, which are then split into manageable segments using a text splitter. The workflow leverages language models to generate embeddings for semantic search and stores these vectors in a Redis database for fast retrieval.

When a new incident report is received, the system creates a vector representation and inserts it into a Redis vector store. It can also query existing records to find related incidents based on similarity, helping with incident analysis and prevention. The workflow uses LangChain components for embedding, question-answering, and memory management, ensuring contextual understanding and efficient data handling. Finally, all incident details and related insights are logged into a Google Sheets document for record-keeping.

This automation network is useful for safety teams in organizations aiming to proactively manage incident reports, perform quick searches for similar past incidents, and maintain comprehensive logs for future reference.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStoreRedis, googleSheets, stickyNote, webhook

Reviews

There are no reviews yet.

Be the first to review “Automated Safety Incident Management Workflow”

Your email address will not be published. Required fields are marked *