AutomationFlowsAI & RAG › AI Real Estate Market Trend Report

AI Real Estate Market Trend Report

Original n8n title: Real Estate Market Trend Report

Real Estate Market Trend Report. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsCohere, vectorStoreWeaviate. Webhook trigger; 11 nodes.

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

This workflow follows the Agent → Cohere Embeddings 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": "Real Estate Market Trend Report",
  "nodes": [
    {
      "parameters": {
        "content": "## Real Estate Market Trend Report",
        "height": 520,
        "width": 1100
      },
      "id": "e5cd3533-af52-45ca-8e52-6086b7d244ea",
      "name": "Sticky",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -500,
        -250
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "real_estate_market_trend_report"
      },
      "id": "0501dc92-8312-4244-a68e-0d6c798f9278",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "1570ba94-787d-4f3b-b5b5-e614db90bc8d",
      "name": "Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -100,
        0
      ]
    },
    {
      "parameters": {
        "model": "default"
      },
      "id": "f4bd6310-ca6e-46c6-bc83-7e15c0588619",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
      "typeVersion": 1,
      "position": [
        100,
        0
      ],
      "credentials": {
        "cohereApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "indexName": "real_estate_market_trend_report"
      },
      "id": "d69bb710-b962-4b60-98cf-efefae8ed524",
      "name": "Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreWeaviate",
      "typeVersion": 1,
      "position": [
        300,
        0
      ],
      "credentials": {
        "weaviateApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "indexName": "real_estate_market_trend_report"
      },
      "id": "5aed1ad1-1c3d-4f04-bf89-a3aa11cf4557",
      "name": "Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreWeaviate",
      "typeVersion": 1,
      "position": [
        300,
        -180
      ],
      "credentials": {
        "weaviateApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "name": "Weaviate"
      },
      "id": "10f720a6-db13-4540-a66c-e62e9d8c9aaf",
      "name": "Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        480,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "9d5f774a-3ac5-4bef-9e43-7184c59b3f7f",
      "name": "Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        480,
        -40
      ]
    },
    {
      "parameters": {},
      "id": "4b64717e-3152-429e-822a-8714766070e3",
      "name": "Chat",
      "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
      "typeVersion": 1,
      "position": [
        480,
        -340
      ],
      "credentials": {
        "anthropicApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $json }}"
      },
      "id": "a381694b-832c-4be6-b93a-e3077a8a8efe",
      "name": "Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        760,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": "SHEET_ID",
        "sheetName": "Log"
      },
      "id": "cc085301-7d71-4b78-a0f2-6b35f03cfe00",
      "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"
  }
}

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About this workflow

Real Estate Market Trend Report. Uses stickyNote, textSplitterCharacterTextSplitter, embeddingsCohere, vectorStoreWeaviate. Webhook trigger; 11 nodes.

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

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