AutomationFlowsAI & RAG › Fuel Price Monitor

Fuel Price Monitor

Fuel Price Monitor. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsHuggingFace, vectorStoreWeaviate. Webhook trigger; 11 nodes.

Webhook trigger★★★☆☆ complexityAI-powered11 nodesText Splitter Character Text SplitterEmbeddings Hugging FaceVector Store WeaviateTool Vector StoreMemory Buffer WindowLm Chat AnthropicAgentGoogle Sheets
AI & RAG Trigger: Webhook Nodes: 11 Complexity: ★★★☆☆ AI nodes: yes

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": "Fuel Price Monitor",
  "nodes": [
    {
      "parameters": {
        "content": "## Fuel Price Monitor",
        "height": 520,
        "width": 1100
      },
      "id": "212807c8-eb78-4896-abde-d45490bc8162",
      "name": "Sticky",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -500,
        -250
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "fuel_price_monitor"
      },
      "id": "f007a66b-9a09-4015-bd12-c4372f2a09b7",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "f6d6d176-6a82-4a81-ad07-3d8a6f966bd6",
      "name": "Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -100,
        0
      ]
    },
    {
      "parameters": {
        "model": "default"
      },
      "id": "a659d2db-9e31-4109-870d-18aa02ff430b",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsHuggingFace",
      "typeVersion": 1,
      "position": [
        100,
        0
      ],
      "credentials": {
        "huggingFaceApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "indexName": "fuel_price_monitor"
      },
      "id": "8f5a00ab-f203-44a7-a0e7-cda4c826ff4d",
      "name": "Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreWeaviate",
      "typeVersion": 1,
      "position": [
        300,
        0
      ],
      "credentials": {
        "weaviateApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "indexName": "fuel_price_monitor"
      },
      "id": "302ed335-a570-49eb-a5ce-018d5d278b30",
      "name": "Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreWeaviate",
      "typeVersion": 1,
      "position": [
        300,
        -180
      ],
      "credentials": {
        "weaviateApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "name": "Weaviate"
      },
      "id": "c7d97d40-d00b-4728-8d15-09e1b67f8798",
      "name": "Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        480,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "6e671170-08ee-4230-a79f-180b8127e72c",
      "name": "Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        480,
        -40
      ]
    },
    {
      "parameters": {},
      "id": "a84861c3-3108-4fcd-91e5-f5299311896e",
      "name": "Chat",
      "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
      "typeVersion": 1,
      "position": [
        480,
        -340
      ],
      "credentials": {
        "anthropicApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $json }}"
      },
      "id": "00ca9897-6615-42bc-b95e-eff519ad11bc",
      "name": "Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        760,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": "SHEET_ID",
        "sheetName": "Log"
      },
      "id": "3ccbfc3c-1b58-4f3d-bf24-5798c423f9d1",
      "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.

About this workflow

Fuel Price Monitor. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsHuggingFace, vectorStoreWeaviate. Webhook trigger; 11 nodes.

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

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