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KI-bereite Vektordatensätze für LLMs mit Bright Data, Gemini und Pinecone erstellen

Experte

Dies ist ein Building Blocks, AI-Bereich Automatisierungsworkflow mit 21 Nodes. Hauptsächlich werden Set, HttpRequest, ManualTrigger, Agent, ChainLlm und andere Nodes verwendet, kombiniert mit KI-Technologie für intelligente Automatisierung. Erstelle KI-bereite Vektordatensätze für LLMs mit Bright Data, Gemini und Pinecone

Voraussetzungen
  • •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
  • •Google Gemini API Key
  • •Pinecone API Key

Verwendete Nodes (21)

Set
StickyNote
HttpRequest
ManualTrigger
Agent
ChainLlm
LmChatGoogleGemini
VectorStorePinecone
InformationExtractor
EmbeddingsGoogleGemini
OutputParserStructured
DocumentDefaultDataLoader
TextSplitterRecursiveCharacterTextSplitter

Kategorie

Bausteine
Künstliche Intelligenz
Workflow-Vorschau
Visualisierung der Node-Verbindungen, mit Zoom und Pan
React Flow
Workflow exportieren
Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n
{
  "id": "3Lih0LVosR8dZbla",
  "meta": {
    "instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
    "templateCredsSetupCompleted": true
  },
  "name": "Create AI-Ready Vector Datasets for LLMs with Bright Data, Gemini & Pinecone",
  "tags": [
    {
      "id": "Kujft2FOjmOVQAmJ",
      "name": "Engineering",
      "createdAt": "2025-04-09T01:31:00.558Z",
      "updatedAt": "2025-04-09T01:31:00.558Z"
    },
    {
      "id": "ZOwtAMLepQaGW76t",
      "name": "Building Blocks",
      "createdAt": "2025-04-13T15:23:40.462Z",
      "updatedAt": "2025-04-13T15:23:40.462Z"
    },
    {
      "id": "ddPkw7Hg5dZhQu2w",
      "name": "AI",
      "createdAt": "2025-04-13T05:38:08.053Z",
      "updatedAt": "2025-04-13T05:38:08.053Z"
    }
  ],
  "nodes": [
    {
      "id": "0a468953-e348-420e-a6b3-c55fb20d3cbf",
      "name": "Bei Klick auf 'Workflow testen'",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        200,
        -710
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "3725e480-246f-4f32-b0a7-b946cacbe830",
      "name": "KI-Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1236,
        -60
      ],
      "parameters": {
        "text": "=Format the below search result\n\n{{ $json.output.search_result }}",
        "options": {},
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 1.8
    },
    {
      "id": "30a12b8e-02f5-4b2e-bf9f-20fd9658405e",
      "name": "Pinecone Vector Store",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "position": [
        1628,
        -10
      ],
      "parameters": {
        "mode": "insert",
        "options": {},
        "pineconeIndex": {
          "__rl": true,
          "mode": "list",
          "value": "hacker-news",
          "cachedResultName": "hacker-news"
        }
      },
      "credentials": {
        "pineconeApi": {
          "id": "wdfRQ6NE8yjCDFhY",
          "name": "PineconeApi account"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "1738dea6-fa4f-4a8d-a6fb-2f01feb1a6d5",
      "name": "Embeddings Google Gemini",
      "type": "@n8n/n8n-nodes-langchain.embeddingsGoogleGemini",
      "position": [
        1612,
        210
      ],
      "parameters": {
        "modelName": "models/text-embedding-004"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "e6443541-de71-4d26-ad58-d7c72868a190",
      "name": "Standard-Datenlader",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        1760,
        220
      ],
      "parameters": {
        "options": {},
        "jsonData": "={{ $('Information Extractor with Data Formatter').item.json.output.search_result }}",
        "jsonMode": "expressionData"
      },
      "typeVersion": 1
    },
    {
      "id": "09ffc8cd-096f-47fe-937d-f8ab4fb41266",
      "name": "Rekursiver Zeichentext-Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
      "position": [
        1820,
        410
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "90cc9aa4-0931-4c52-8734-e4e0de820205",
      "name": "Google Gemini Chat Model1",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1240,
        160
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "1090a4af-7e5d-446b-a537-3afe48cd4909",
      "name": "Google Gemini Chat Model2",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        948,
        -340
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "324c530c-0a03-411e-acb0-d82e9dc635cf",
      "name": "Google Gemini Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        948,
        160
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "3226a2d6-ade1-4d6a-95c5-0be4d787a947",
      "name": "Strukturierter Ausgabe-Parser",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        1400,
        160
      ],
      "parameters": {
        "jsonSchemaExample": "[{\n\t\"id\": \"<string>\",\n\t\"title\": \"<string>\",\n    \"summary\": \"<string>\",\n    \"keywords\": [\"\"],\n    \"topics\": [\"\"]\n}]"
      },
      "typeVersion": 1.2
    },
    {
      "id": "a739a314-900a-4ef7-9cc2-1b65374e2e05",
      "name": "Notizzettel",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        40,
        -360
      ],
      "parameters": {
        "width": 480,
        "height": 220,
        "content": "## Note\nPlease make sure to set the URL for web crawling. \n\nWeb-Unlocker Product is being utilized for performing the web scrapping. \n\nThis 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
    },
    {
      "id": "3dca6d46-c423-4fb5-a6e4-c2aa2852d51c",
      "name": "Felder setzen - URL und Webhook URL",
      "type": "n8n-nodes-base.set",
      "notes": "Set the URL which you are interested to scrap the data",
      "position": [
        420,
        -710
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "1c132dd6-31e4-453b-a8cf-cad9845fe55b",
              "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,
      "typeVersion": 3.4
    },
    {
      "id": "216a3261-a398-484c-9bf4-ca5966b829b6",
      "name": "Make eine Webanfrage",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        640,
        -260
      ],
      "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"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "0c74e21c-3007-4297-b6ab-8ee17f4c6436",
      "name": "Strukturierter JSON Daten-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.\n\nHere's the input: {{ $json.data }}\nHere's the JSON schema: \n\n[{\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 für strukturierte Daten",
      "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 für strukturierte KI-Agenten-Antwort",
      "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": "Notizzettel1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        800,
        -620
      ],
      "parameters": {
        "width": 360,
        "height": 420,
        "content": "## AI Data Formatter\n"
      },
      "typeVersion": 1
    },
    {
      "id": "f62463cd-6be3-4942-a636-de980a3154b4",
      "name": "Notizzettel2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1560,
        -160
      ],
      "parameters": {
        "color": 4,
        "width": 520,
        "height": 720,
        "content": "## Vector Database Persistence\n"
      },
      "typeVersion": 1
    },
    {
      "id": "ad20cc91-766a-4a57-be54-6f0d09a784eb",
      "name": "Notizzettel3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1260,
        -920
      ],
      "parameters": {
        "color": 3,
        "width": 680,
        "height": 440,
        "content": "## Webhook Notification Handler\n"
      },
      "typeVersion": 1
    },
    {
      "id": "37ab5c0f-d36e-4131-844d-20a22d3f2861",
      "name": "Informationsextraktor mit Daten-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": "Notizzettel4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        800,
        -160
      ],
      "parameters": {
        "color": 5,
        "width": 720,
        "height": 720,
        "content": "## Data Extraction/Formatting with the AI Agent\n"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "799fb406-600d-45a5-b926-24b8844f33a5",
  "connections": {
    "3725e480-246f-4f32-b0a7-b946cacbe830": {
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    },
    "e6443541-de71-4d26-ad58-d7c72868a190": {
      "ai_document": [
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            "type": "ai_document",
            "index": 0
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        ]
      ]
    },
    "30a12b8e-02f5-4b2e-bf9f-20fd9658405e": {
      "ai_tool": [
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    },
    "1738dea6-fa4f-4a8d-a6fb-2f01feb1a6d5": {
      "ai_embedding": [
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            "type": "ai_embedding",
            "index": 0
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    "324c530c-0a03-411e-acb0-d82e9dc635cf": {
      "ai_languageModel": [
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    "3226a2d6-ade1-4d6a-95c5-0be4d787a947": {
      "ai_outputParser": [
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            "type": "ai_outputParser",
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    "90cc9aa4-0931-4c52-8734-e4e0de820205": {
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    "1090a4af-7e5d-446b-a537-3afe48cd4909": {
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    "3dca6d46-c423-4fb5-a6e4-c2aa2852d51c": {
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    "09ffc8cd-096f-47fe-937d-f8ab4fb41266": {
      "ai_textSplitter": [
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            "node": "e6443541-de71-4d26-ad58-d7c72868a190",
            "type": "ai_textSplitter",
            "index": 0
          }
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    "0a468953-e348-420e-a6b3-c55fb20d3cbf": {
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    "37ab5c0f-d36e-4131-844d-20a22d3f2861": {
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  }
}
Häufig gestellte Fragen

Wie verwende ich diesen Workflow?

Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.

Für welche Szenarien ist dieser Workflow geeignet?

Experte - Bausteine, Künstliche Intelligenz

Ist es kostenpflichtig?

Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.

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Autor
Ranjan Dailata

Ranjan Dailata

@ranjancse
Externe Links
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