AutomationFlowsAI & RAG › Monthly Expense Report

Monthly Expense Report

Monthly Expense Report. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreWeaviate. Webhook trigger; 12 nodes.

Webhook trigger★★★☆☆ complexityAI-powered12 nodesText Splitter Character Text SplitterEmbeddings Open AiVector Store WeaviateTool Vector StoreMemory Buffer WindowLm Chat AnthropicAgentGoogle Sheets
AI & RAG Trigger: Webhook Nodes: 12 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": "Monthly Expense Report",
  "nodes": [
    {
      "parameters": {
        "content": "Placeholder for Monthly Expense Report",
        "height": 530,
        "width": 1100,
        "color": 5
      },
      "id": "8728dad1-36d7-4ed0-8162-7622f31b4bc1",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -480,
        -240
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "monthly-expense-report"
      },
      "id": "7f107229-acbb-4195-a5cd-b0f97bedc954",
      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "a7b02852-85a2-4048-bf05-64106a5aa1b3",
      "name": "Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -130,
        0
      ]
    },
    {
      "parameters": {
        "model": "text-embedding-3-small",
        "options": {}
      },
      "id": "f8683870-d2ea-4541-a98e-994f04327170",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "typeVersion": 1,
      "position": [
        70,
        0
      ],
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "options": {},
        "indexName": "monthly_expense_report"
      },
      "id": "1eec63a3-ddfd-45d0-be4d-6533cf8e3dea",
      "name": "Weaviate Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreWeaviate",
      "typeVersion": 1,
      "position": [
        270,
        0
      ],
      "credentials": {
        "weaviateApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "indexName": "monthly_expense_report"
      },
      "id": "8073feb4-b770-45b8-84e1-76c37e332e1f",
      "name": "Weaviate Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreWeaviate",
      "typeVersion": 1,
      "position": [
        270,
        -180
      ],
      "credentials": {
        "weaviateApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "name": "Weaviate",
        "description": "Vector context"
      },
      "id": "d68e93b2-d64e-42d5-9782-364c5e43e148",
      "name": "Vector Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        450,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "925a8cad-26c0-435f-9e94-6a037380f9f2",
      "name": "Window Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        450,
        -40
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "ad4dfd87-e12a-43d0-959f-31df79dbc0f0",
      "name": "Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
      "typeVersion": 1,
      "position": [
        450,
        -340
      ],
      "credentials": {
        "anthropicApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "Handle data",
        "options": {
          "systemMessage": "You are an assistant for Monthly Expense Report"
        }
      },
      "id": "a9f139f6-be27-4aec-9ca3-51ff754c9036",
      "name": "RAG Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        720,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "SHEET_ID",
          "mode": "list",
          "cachedResultName": "Monthly Expense Report"
        },
        "sheetName": {
          "__rl": true,
          "value": "Log",
          "mode": "list",
          "cachedResultName": "Log"
        },
        "columns": {
          "mappingMode": "defineBelow",
          "value": "Status",
          "schema": []
        }
      },
      "id": "12ca3491-606a-4229-b392-705431a87aff",
      "name": "Append Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4,
      "position": [
        930,
        -40
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "channel": "#alerts",
        "text": "Monthly Expense Report error: {$json.error.message}"
      },
      "id": "3af6e41f-e4c2-4bd3-92ae-4c8a7b27e495",
      "name": "Slack Alert",
      "type": "n8n-nodes-base.slack",
      "typeVersion": 1,
      "position": [
        930,
        120
      ],
      "credentials": {
        "slackApi": {
          "name": "<your credential>"
        }
      }
    }
  ],
  "connections": {
    "Webhook Trigger": {
      "main": [
        [
          {
            "node": "Text Splitter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Window Memory",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Text Splitter": {
      "main": [
        [
          {
            "node": "Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "ai_textSplitter": [
        [
          {
            "node": "Weaviate Insert",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Weaviate Insert",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Weaviate Query",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Weaviate Insert": {
      "ai_document": [
        []
      ]
    },
    "Weaviate Query": {
      "ai_vectorStore": [
        [
          {
            "node": "Vector Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Vector Tool": {
      "ai_tool": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Window Memory": {
      "ai_memory": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "RAG Agent": {
      "main": [
        [
          {
            "node": "Append Sheet",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "onError": [
        [
          {
            "node": "Slack Alert",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  },
  "triggerCount": 1
}

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

Monthly Expense Report. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreWeaviate. Webhook trigger; 12 nodes.

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

More AI & RAG workflows → · Browse all categories →