AutomationFlowsAI & RAG › Zoning Regulation Checker

Zoning Regulation Checker

Zoning Regulation Checker. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreRedis. Webhook trigger; 11 nodes.

Webhook trigger★★★☆☆ complexityAI-powered11 nodesText Splitter Character Text SplitterEmbeddings Open AiVector Store RedisTool Vector StoreMemory Buffer WindowLm Chat HfAgentGoogle 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": "Zoning Regulation Checker",
  "nodes": [
    {
      "parameters": {
        "content": "## Zoning Regulation Checker",
        "height": 520,
        "width": 1100
      },
      "id": "07d635fb-5ea6-40db-8eb3-477a78c63232",
      "name": "Sticky",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -500,
        -250
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "zoning_regulation_checker"
      },
      "id": "3f13da25-c4d9-47c5-b521-2c2e25635ec3",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "e4a8e3ef-15b9-4e2a-876b-1d29f56cd0fa",
      "name": "Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -100,
        0
      ]
    },
    {
      "parameters": {
        "model": "default"
      },
      "id": "b40a547d-4b1c-43b3-9820-732c263ce7fd",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "typeVersion": 1,
      "position": [
        100,
        0
      ],
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "indexName": "zoning_regulation_checker"
      },
      "id": "d29b865b-9909-4fc4-8785-9a04eb7eee35",
      "name": "Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreRedis",
      "typeVersion": 1,
      "position": [
        300,
        0
      ],
      "credentials": {
        "redisApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "indexName": "zoning_regulation_checker"
      },
      "id": "5ffa1b33-c404-4135-b7fc-097a7af026ed",
      "name": "Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreRedis",
      "typeVersion": 1,
      "position": [
        300,
        -180
      ],
      "credentials": {
        "redisApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "name": "Redis"
      },
      "id": "b2752bb3-20d7-43dd-83b5-3a9103d7cd46",
      "name": "Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        480,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "c6319312-5f09-4f7e-8590-0f2c17a5b88c",
      "name": "Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        480,
        -40
      ]
    },
    {
      "parameters": {},
      "id": "6da6b757-2fdf-4f85-8e2a-a1d4e15ec9fc",
      "name": "Chat",
      "type": "@n8n/n8n-nodes-langchain.lmChatHf",
      "typeVersion": 1,
      "position": [
        480,
        -340
      ],
      "credentials": {
        "huggingFaceApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $json }}"
      },
      "id": "b5fda3af-1de8-41ba-a7f1-3f0ac4625110",
      "name": "Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        760,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": "SHEET_ID",
        "sheetName": "Log"
      },
      "id": "a01be5c7-9426-4835-b2b9-3d03d1b6622b",
      "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

Zoning Regulation Checker. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsOpenAi, vectorStoreRedis. Webhook trigger; 11 nodes.

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

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