{
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  },
  "name": "Create AI-Ready Vector Datasets for LLMs with Bright Data, Gemini & Pinecone",
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      "name": "Engineering",
      "createdAt": "2025-04-09T01:31:00.558Z",
      "updatedAt": "2025-04-09T01:31:00.558Z"
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      ],
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    },
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      ],
      "parameters": {
        "text": "=Format the below search resultnn{{ $json.output.search_result }}",
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      ],
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        "jsonMode": "expressionData"
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      ],
      "parameters": {
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      ],
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      },
      "credentials": {
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          "id": "YeO7dHZnuGBVQKVZ",
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        }
      },
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    },
    {
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      "name": "Structured Output Parser",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        1400,
        160
      ],
      "parameters": {
        "jsonSchemaExample": "[{nt"id": "",nt"title": "",n    "summary": "",n    "keywords": [""],n    "topics": [""]n}]"
      },
      "typeVersion": 1.2
    },
    {
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      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "width": 480,
        "height": 220,
        "content": "## NotenPlease make sure to set the URL for web crawling. nnWeb-Unlocker Product is being utilized for performing the web scrapping. nnThis workflow is utilizing the Basic LLM Chain, Information Extraction with the AI Agents for formatting, extracting and persisting the response in PineCone Vector Database"
      },
      "typeVersion": 1
    },
    {
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      "name": "Set Fields - URL and Webhook URL",
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      "notes": "Set the URL which you are interested to scrap the data",
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      ],
      "parameters": {
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        "assignments": {
          "assignments": [
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              "name": "url",
              "type": "string",
              "value": "https://news.ycombinator.com?product=unlocker&method=api"
            },
            {
              "id": "90f3272b-d13d-44e2-8b4c-0943648cfce9",
              "name": "webhook_url",
              "type": "string",
              "value": "https://webhook.site/bc804ce5-4a45-4177-a68a-99c80e5c86e6"
            }
          ]
        }
      },
      "notesInFlow": true,
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    {
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      "name": "Make a web request",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
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      ],
      "parameters": {
        "url": "https://api.brightdata.com/request",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "sendHeaders": true,
        "authentication": "genericCredentialType",
        "bodyParameters": {
          "parameters": [
            {
              "name": "zone",
              "value": "web_unlocker1"
            },
            {
              "name": "url",
              "value": "={{ $json.url }}"
            },
            {
              "name": "format",
              "value": "raw"
            }
          ]
        },
        "genericAuthType": "httpHeaderAuth",
        "headerParameters": {
          "parameters": [
            {}
          ]
        }
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "kdbqXuxIR8qIxF7y",
          "name": "Header Auth account"
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      "name": "Structured JSON Data Formatter",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        860,
        -560
      ],
      "parameters": {
        "text": "=Format the below response and produce a textual data. Output the response as per the below JSON schema.nnHere's the input: {{ $json.data }}nHere's the JSON schema: nn[{n    "rank": { "type": "integer" },n    "title": { "type": "string" },n    "site": { "type": "string" },n    "points": { "type": "integer" },n    "user": { "type": "string" },n    "age": { "type": "string" },n    "comments": { "type": "string" }n}]",
        "messages": {
          "messageValues": [
            {
              "message": "You are an expert data formatter"
            }
          ]
        },
        "promptType": "define"
      },
      "typeVersion": 1.6
    },
    {
      "id": "012d4bb0-2b58-47cd-9cea-b4e0dced9082",
      "name": "Webhook for structured data",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1314,
        -860
      ],
      "parameters": {
        "url": "={{ $json.webhook_url }}",
        "options": {},
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "response",
              "value": "={{ $json.text }}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "93b35e5e-6f52-4aeb-8f1b-39cc495beefe",
      "name": "Webhook for structured AI agent response",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1750,
        -660
      ],
      "parameters": {
        "url": "={{ $json.webhook_url }}",
        "options": {},
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "response",
              "value": "={{ $json.output }}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "251b4251-255c-48c6-999b-02227fa2de9b",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        800,
        -620
      ],
      "parameters": {
        "width": 360,
        "height": 420,
        "content": "## AI Data Formattern"
      },
      "typeVersion": 1
    },
    {
      "id": "f62463cd-6be3-4942-a636-de980a3154b4",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1560,
        -160
      ],
      "parameters": {
        "color": 4,
        "width": 520,
        "height": 720,
        "content": "## Vector Database Persistencen"
      },
      "typeVersion": 1
    },
    {
      "id": "ad20cc91-766a-4a57-be54-6f0d09a784eb",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1260,
        -920
      ],
      "parameters": {
        "color": 3,
        "width": 680,
        "height": 440,
        "content": "## Webhook Notification Handlern"
      },
      "typeVersion": 1
    },
    {
      "id": "37ab5c0f-d36e-4131-844d-20a22d3f2861",
      "name": "Information Extractor with Data Formatter",
      "type": "@n8n/n8n-nodes-langchain.informationExtractor",
      "position": [
        860,
        -60
      ],
      "parameters": {
        "text": "={{ $json.data }}",
        "options": {
          "systemPromptTemplate": "You are an expert HTML extractor. Your job is to analyze the search result and extract the content as a collection on items"
        },
        "attributes": {
          "attributes": [
            {
              "name": "search_result",
              "description": "Search Response"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "e04e189a-8ba9-4ef4-9a49-fc13daf00828",
      "name": "Sticky Note4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        800,
        -160
      ],
      "parameters": {
        "color": 5,
        "width": 720,
        "height": 720,
        "content": "## Data Extraction/Formatting with the AI Agentn"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "799fb406-600d-45a5-b926-24b8844f33a5",
  "connections": {
    "AI Agent": {
      "main": [
        [
          {
            "node": "Pinecone Vector Store",
            "type": "main",
            "index": 0
          },
          {
            "node": "Webhook for structured AI agent response",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Make a web request": {
      "main": [
        [
          {
            "node": "Structured JSON Data Formatter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Information Extractor with Data Formatter",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Default Data Loader": {
      "ai_document": [
        [
          {
            "node": "Pinecone Vector Store",
            "type": "ai_document",
            "index": 0
          }
        ]
      ]
    },
    "Pinecone Vector Store": {
      "ai_tool": [
        []
      ]
    },
    "Embeddings Google Gemini": {
      "ai_embedding": [
        [
          {
            "node": "Pinecone Vector Store",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Information Extractor with Data Formatter",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Structured Output Parser": {
      "ai_outputParser": [
        [
          {
            "node": "AI Agent",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Chat Model1": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Chat Model2": {
      "ai_languageModel": [
        [
          {
            "node": "Structured JSON Data Formatter",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Structured JSON Data Formatter": {
      "main": [
        [
          {
            "node": "Webhook for structured data",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Set Fields - URL and Webhook URL": {
      "main": [
        [
          {
            "node": "Make a web request",
            "type": "main",
            "index": 0
          },
          {
            "node": "Webhook for structured data",
            "type": "main",
            "index": 0
          },
          {
            "node": "Webhook for structured AI agent response",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Recursive Character Text Splitter": {
      "ai_textSplitter": [
        [
          {
            "node": "Default Data Loader",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "When clicking u2018Test workflowu2019": {
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            "node": "Set Fields - URL and Webhook URL",
            "type": "main",
            "index": 0
          }
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    "Information Extractor with Data Formatter": {
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          }
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    }
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}