AutomationFlowsAI & RAG › AI Safety Incident Alert Workflow

AI Safety Incident Alert Workflow

Original n8n title: Safety Incident Alert

Safety Incident Alert. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsHuggingFace, vectorStoreRedis. Webhook trigger; 11 nodes.

Webhook trigger★★★☆☆ complexityAI-powered11 nodesText Splitter Character Text SplitterHugging Face EmbeddingsRedis Vector StoreTool Vector StoreMemory Buffer WindowHugging Face ChatAgentGoogle Sheets
AI & RAG Trigger: Webhook Nodes: 11 Complexity: ★★★☆☆ AI nodes: yes Added:

This workflow follows the Agent → Google Sheets recipe pattern — see all workflows that pair these two integrations.

The workflow JSON

Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →

Download .json
{
  "name": "Safety Incident Alert",
  "nodes": [
    {
      "parameters": {
        "content": "## Safety Incident Alert",
        "height": 520,
        "width": 1100
      },
      "id": "acd052ce-d3a1-4e61-baa3-45cd6f793aee",
      "name": "Sticky",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -500,
        -250
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "safety_incident_alert"
      },
      "id": "1deea699-1774-435a-90f6-69f08d5a6931",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "422f3b21-a6a6-4f42-99a4-639edfeb9b5e",
      "name": "Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -100,
        0
      ]
    },
    {
      "parameters": {
        "model": "default"
      },
      "id": "20df8766-9812-46f6-a460-6dc78be50f81",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsHuggingFace",
      "typeVersion": 1,
      "position": [
        100,
        0
      ],
      "credentials": {
        "huggingFaceApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "indexName": "safety_incident_alert"
      },
      "id": "45b8c485-9062-44d5-8580-2f7873405375",
      "name": "Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreRedis",
      "typeVersion": 1,
      "position": [
        300,
        0
      ],
      "credentials": {
        "redisApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "indexName": "safety_incident_alert"
      },
      "id": "52766966-69f4-4e89-ac3a-2eb770a04adf",
      "name": "Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreRedis",
      "typeVersion": 1,
      "position": [
        300,
        -180
      ],
      "credentials": {
        "redisApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "name": "Redis"
      },
      "id": "4edf8626-ea38-48b1-ab95-ecabf977ce86",
      "name": "Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        480,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "c04e95e7-b775-4be6-817f-c3c54bb7c0fd",
      "name": "Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        480,
        -40
      ]
    },
    {
      "parameters": {},
      "id": "8d56875b-ebe1-4d6e-bc84-d34ce77f5e06",
      "name": "Chat",
      "type": "@n8n/n8n-nodes-langchain.lmChatHf",
      "typeVersion": 1,
      "position": [
        480,
        -340
      ],
      "credentials": {
        "huggingFaceApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $json }}"
      },
      "id": "39891a6f-af82-47f1-b8de-809e45a2e91c",
      "name": "Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        760,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": "SHEET_ID",
        "sheetName": "Log"
      },
      "id": "41ecc052-0431-49a5-8508-826db972109c",
      "name": "Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4,
      "position": [
        960,
        -40
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "name": "<your credential>"
        }
      }
    }
  ],
  "connections": {
    "Webhook": {
      "main": [
        [
          {
            "node": "Splitter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Memory",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Splitter": {
      "main": [
        [
          {
            "node": "Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "ai_textSplitter": [
        [
          {
            "node": "Insert",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Insert",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Query",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Insert": {
      "ai_document": [
        []
      ]
    },
    "Query": {
      "ai_vectorStore": [
        [
          {
            "node": "Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Tool": {
      "ai_tool": [
        [
          {
            "node": "Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Memory": {
      "ai_memory": [
        [
          {
            "node": "Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chat": {
      "ai_languageModel": [
        [
          {
            "node": "Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Agent": {
      "main": [
        [
          {
            "node": "Sheet",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  }
}

Credentials you'll need

Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.

Pro

For the full experience including quality scoring and batch install features for each workflow upgrade to Pro

About this workflow

Safety Incident Alert. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsHuggingFace, vectorStoreRedis. Webhook trigger; 11 nodes.

Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →

More AI & RAG workflows → · Browse all categories →

Related workflows

Workflows that share integrations, category, or trigger type with this one. All free to copy and import.

AI & RAG

Commodity Price Tracker. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsCohere, vectorStoreRedis. Webhook trigger; 11 nodes.

Text Splitter Character Text Splitter, Cohere Embeddings, Redis Vector Store +5
AI & RAG

Irrigation Schedule Optimizer. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStorePinecone. Webhook trigger; 11 nodes.

Text Splitter Character Text Splitter, OpenAI Embeddings, Pinecone Vector Store +5
AI & RAG

Soil Nutrient Analysis. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsHuggingFace, vectorStoreWeaviate. Webhook trigger; 11 nodes.

Text Splitter Character Text Splitter, Hugging Face Embeddings, Weaviate Vector Store +5
AI & RAG

Crop Yield Predictor. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsHuggingFace, vectorStoreSupabase. Webhook trigger; 11 nodes.

Text Splitter Character Text Splitter, Hugging Face Embeddings, Supabase Vector Store +5
AI & RAG

Greenhouse Climate Controller. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsHuggingFace, vectorStorePinecone. Webhook trigger; 11 nodes.

Text Splitter Character Text Splitter, Hugging Face Embeddings, Pinecone Vector Store +5