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Améliorer les réponses de chat avec des données de recherche en temps réel via Bright Data et Gemini AI

Avancé

Ceci est unProduct, AI, Marketingworkflow d'automatisation du domainecontenant 18 nœuds.Utilise principalement des nœuds comme Set, McpClient, McpClientTool, ManualTrigger, Agent, combinant la technologie d'intelligence artificielle pour une automatisation intelligente. Amélioration des réponses de chat en utilisant des données de recherche en temps réel avec Bright Data et Gemini AI

Prérequis
  • •Peut nécessiter les informations d'identification d'authentification de l'API cible
  • •Clé API Google Gemini

Nœuds utilisés (18)

Set
McpClient
StickyNote
McpClientTool
ManualTrigger
Agent
ChatTrigger
ToolHttpRequest
LmChatGoogleGemini
MemoryBufferWindow

Catégorie

Produit
Intelligence Artificielle
Marketing
Aperçu du workflow
Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement
React Flow
Exporter le workflow
Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow
{
  "id": "8jdT4wXjV5NljqKa",
  "meta": {
    "instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
    "templateCredsSetupCompleted": true
  },
  "name": "Enhance Chat Responses with Real-Time Search Data via Bright Data & Gemini AI",
  "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": "7294b048-5804-4620-a53e-52df293c3df1",
      "name": "À la réception d'un message de chat",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        -460,
        160
      ],
      "webhookId": "3ad383ee-ded9-4a46-9165-9af0bad6c450",
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "8ff09a26-ffa4-451d-9452-35b8f2936cab",
      "name": "Agent IA",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        -140,
        60
      ],
      "parameters": {
        "options": {
          "systemMessage": "You are a helpful assistant.\n\nUse MCP Search Engine assistant tools for Bright Data for Google, Bing or Yandex Search. \n\nImportant: Return the response to Chat and also perform the webhook notification of responses.\n\nUse the relevant tool in the order of execution. "
        }
      },
      "typeVersion": 1.8
    },
    {
      "id": "92352366-7fe5-407d-aa34-96ac19b13284",
      "name": "Google Gemini Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        -240,
        280
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "b6d947d1-9752-4aff-834c-de99ff1ad903",
      "name": "Mémoire simple",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        -60,
        280
      ],
      "parameters": {},
      "typeVersion": 1.3
    },
    {
      "id": "73273d82-2a2f-41a2-ad1c-369f7a05ebe1",
      "name": "En cliquant sur 'Tester le workflow'",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -480,
        -200
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "39464933-03e0-46a2-ba3b-ab96aa14461e",
      "name": "Client MCP lister tous les outils pour Bright Data",
      "type": "n8n-nodes-mcp.mcpClient",
      "position": [
        -260,
        -200
      ],
      "parameters": {},
      "credentials": {
        "mcpClientApi": {
          "id": "JtatFSfA2kkwctYa",
          "name": "MCP Client (STDIO) account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "9d0d498f-10da-4a66-9e59-1773089d5d7c",
      "name": "Client MCP Outil de recherche Bright Data",
      "type": "n8n-nodes-mcp.mcpClient",
      "position": [
        160,
        -200
      ],
      "parameters": {
        "toolName": "={{ $('MCP Client list all tools for Bright Data').item.json.tools[0].name }}",
        "operation": "executeTool",
        "toolParameters": "={\n   \"query\": \"{{ $json.search_query }}\",\n   \"engine\": \"google\"\n} "
      },
      "credentials": {
        "mcpClientApi": {
          "id": "JtatFSfA2kkwctYa",
          "name": "MCP Client (STDIO) account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "346fd1f7-be97-47b6-b767-74382dc90979",
      "name": "Définir la requête de recherche",
      "type": "n8n-nodes-base.set",
      "position": [
        -60,
        -200
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "214e61a0-3587-453f-baf5-eac013990857",
              "name": "search_query",
              "type": "string",
              "value": "Bright Data"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "1dc4dabe-d651-4b43-b561-4528be14e578",
      "name": "Google Moteur de recherche pour Bright Data",
      "type": "n8n-nodes-mcp.mcpClientTool",
      "notes": "Scrape search results from Google, Bing or Yandex. Returns SERP results in markdown (URL, title, description)",
      "position": [
        240,
        540
      ],
      "parameters": {
        "toolName": "search_engine",
        "operation": "executeTool",
        "toolParameters": "={\n   \"query\": \"{{ $json.chatInput }}\",\n   \"engine\": \"google\"\n}"
      },
      "credentials": {
        "mcpClientApi": {
          "id": "JtatFSfA2kkwctYa",
          "name": "MCP Client (STDIO) account"
        }
      },
      "notesInFlow": true,
      "typeVersion": 1
    },
    {
      "id": "029f5e0e-070f-47a7-8c77-2b59ca01ada4",
      "name": "Moteur de recherche Bing pour Bright Data",
      "type": "n8n-nodes-mcp.mcpClientTool",
      "notes": "Scrape search results from Google, Bing or Yandex. Returns SERP results in markdown (URL, title, description)",
      "position": [
        40,
        540
      ],
      "parameters": {
        "toolName": "search_engine",
        "operation": "executeTool",
        "toolParameters": "={\n   \"query\": \"{{ $json.chatInput }}\",\n   \"engine\": \"bing\"\n} "
      },
      "credentials": {
        "mcpClientApi": {
          "id": "JtatFSfA2kkwctYa",
          "name": "MCP Client (STDIO) account"
        }
      },
      "notesInFlow": true,
      "typeVersion": 1
    },
    {
      "id": "580d37de-deb9-49cf-b9b8-4d14edca28f2",
      "name": "Note autocollante",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -40,
        460
      ],
      "parameters": {
        "color": 4,
        "width": 640,
        "height": 240,
        "content": "## Bright Data Search Engines"
      },
      "typeVersion": 1
    },
    {
      "id": "bb77ba7c-c70e-4912-96f6-4f63b966c7a9",
      "name": "Note autocollante1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -100,
        -260
      ],
      "parameters": {
        "color": 3,
        "width": 460,
        "height": 260,
        "content": "## Bright Data Google Search"
      },
      "typeVersion": 1
    },
    {
      "id": "ecdd9f42-f56c-4bdb-b778-cd3b7545bb37",
      "name": "Client MCP Lister tous les outils",
      "type": "n8n-nodes-mcp.mcpClientTool",
      "position": [
        260,
        280
      ],
      "parameters": {},
      "credentials": {
        "mcpClientApi": {
          "id": "JtatFSfA2kkwctYa",
          "name": "MCP Client (STDIO) account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "a1adfa84-6e1a-4b5c-9148-feddb1e6ab72",
      "name": "HTTP Requête pour Webhook Notification",
      "type": "@n8n/n8n-nodes-langchain.toolHttpRequest",
      "position": [
        500,
        240
      ],
      "parameters": {
        "url": "https://webhook.site/daf9d591-a130-4010-b1d3-0c66f8fcf467",
        "method": "POST",
        "sendBody": true,
        "parametersBody": {
          "values": [
            {
              "name": "chat_response"
            }
          ]
        },
        "toolDescription": "Webhook notification for search responses"
      },
      "typeVersion": 1.1
    },
    {
      "id": "ae88bb19-170f-443f-b777-561cf2e3be25",
      "name": "Note autocollante2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -100,
        -400
      ],
      "parameters": {
        "width": 440,
        "height": 120,
        "content": "## Disclaimer\nThis template is only available on n8n self-hosted as it's making use of the community node for MCP Client."
      },
      "typeVersion": 1
    },
    {
      "id": "80ac697d-2c4a-4f97-82aa-edcabbf7ef6f",
      "name": "Moteur de recherche Yandex pour Bright Data",
      "type": "n8n-nodes-mcp.mcpClientTool",
      "notes": "Scrape search results from Google, Bing or Yandex. Returns SERP results in markdown (URL, title, description)",
      "position": [
        460,
        540
      ],
      "parameters": {
        "toolName": "search_engine",
        "operation": "executeTool",
        "toolParameters": "={\n   \"query\": \"{{ $json.chatInput }}\",\n   \"engine\": \"yandex\"\n}"
      },
      "credentials": {
        "mcpClientApi": {
          "id": "JtatFSfA2kkwctYa",
          "name": "MCP Client (STDIO) account"
        }
      },
      "notesInFlow": true,
      "typeVersion": 1
    },
    {
      "id": "dfb2117d-782f-44d9-baca-1ee4b0fef863",
      "name": "Note autocollante3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -940,
        -40
      ],
      "parameters": {
        "color": 5,
        "width": 400,
        "height": 220,
        "content": "## Note\nUse Bright Data MCP Search Engine assistant tools to perform Google, Bing or Yandex Search.\n\nThe AI Agent will make use of suitable search engine-based tools, returns the response to Chat and also performs the Webhook notification call for sending the AI responses via the MCP Client tools.\n\nSource - https://github.com/luminati-io/brightdata-mcp"
      },
      "typeVersion": 1
    },
    {
      "id": "694b3381-8ebe-4afb-be93-019715c0c2cf",
      "name": "Note autocollante4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -440,
        460
      ],
      "parameters": {
        "width": 300,
        "height": 180,
        "content": "## LLM Usage\nGoogle Gemini is employed by the AI agent to understand and interpret user queries. Based on this interpretation, the agent initiates a call to the appropriate MCP client to perform the required web search task."
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "2382b23d-fd06-4f10-bcbd-f09a944a1c8d",
  "connections": {
    "b6d947d1-9752-4aff-834c-de99ff1ad903": {
      "ai_memory": [
        [
          {
            "node": "8ff09a26-ffa4-451d-9452-35b8f2936cab",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "346fd1f7-be97-47b6-b767-74382dc90979": {
      "main": [
        [
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            "node": "9d0d498f-10da-4a66-9e59-1773089d5d7c",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "92352366-7fe5-407d-aa34-96ac19b13284": {
      "ai_languageModel": [
        [
          {
            "node": "8ff09a26-ffa4-451d-9452-35b8f2936cab",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "ecdd9f42-f56c-4bdb-b778-cd3b7545bb37": {
      "ai_tool": [
        [
          {
            "node": "8ff09a26-ffa4-451d-9452-35b8f2936cab",
            "type": "ai_tool",
            "index": 0
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    "7294b048-5804-4620-a53e-52df293c3df1": {
      "main": [
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    },
    "73273d82-2a2f-41a2-ad1c-369f7a05ebe1": {
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            "type": "main",
            "index": 0
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    },
    "029f5e0e-070f-47a7-8c77-2b59ca01ada4": {
      "ai_tool": [
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            "node": "8ff09a26-ffa4-451d-9452-35b8f2936cab",
            "type": "ai_tool",
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    },
    "1dc4dabe-d651-4b43-b561-4528be14e578": {
      "ai_tool": [
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            "node": "8ff09a26-ffa4-451d-9452-35b8f2936cab",
            "type": "ai_tool",
            "index": 0
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    "80ac697d-2c4a-4f97-82aa-edcabbf7ef6f": {
      "ai_tool": [
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            "type": "ai_tool",
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    "a1adfa84-6e1a-4b5c-9148-feddb1e6ab72": {
      "ai_tool": [
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            "type": "ai_tool",
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    "39464933-03e0-46a2-ba3b-ab96aa14461e": {
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            "type": "main",
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        ]
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    }
  }
}
Foire aux questions

Comment utiliser ce workflow ?

Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.

Dans quelles scénarios ce workflow est-il adapté ?

Avancé - Produit, Intelligence Artificielle, Marketing

Est-ce payant ?

Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.

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Informations sur le workflow
Niveau de difficulté
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Nombre de nœuds18
Catégorie3
Types de nœuds10
Description de la difficulté

Adapté aux utilisateurs avancés, avec des workflows complexes contenant 16+ nœuds

Auteur
Ranjan Dailata

Ranjan Dailata

@ranjancse
Liens externes
Voir sur n8n.io →

Partager ce workflow

Catégories

IA Multimodale
1540
Intelligence Artificielle
1108
Création de contenu
695
Résumé IA
516
Marketing
419
Chatbot IA
251
Ingénierie
241
Étude de marché
203
Divers
193
Autres
176
Ventes
162
Opérations IT
156
Extraction de documents
147
RAG IA
146
Blocs de construction
144
Réseaux sociaux
137
Génération de leads
125
Productivité personnelle
117
DevOps
111
Ressources Humaines
101
Support
97
Nurturing de leads
87
CRM
82
Finance
81
Produit
77
Chatbot de support
76
Design
70
Gestion des tickets
67
Opérations de sécurité
57
Traitement des factures
53
Trading crypto
49
Gestion de fichiers
39
Gestion de projet
35
Wiki interne
32

Catégories: 34