🔍🛠️ Recherche et extraction Tavily - Modèle

Avancé

Ceci est uncontenant 17 nœuds.Utilise principalement des nœuds comme Set, HttpRequest, ChainLlm, ChatTrigger, LmChatOpenAi. 🤖🔍 Chercheur IA gratuit ultime (recherche et extraction sur le réseau Tavily)

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

Catégorie

-
Aperçu du workflow
Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement
Exporter le workflow
Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow
{
  "id": "QqbYH25we4JDZrZD",
  "meta": {
    "instanceId": "31e69f7f4a77bf465b805824e303232f0227212ae922d12133a0f96ffeab4fef"
  },
  "name": "🔍🛠️ Tavily Search & Extract - Template",
  "tags": [],
  "nodes": [
    {
      "id": "e029204b-2e05-4262-b464-7c1b3a995f91",
      "name": "Note adhésive1",
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      "position": [
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      "parameters": {
        "color": 4,
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        "content": "## Tavily API Search Endpoint\n\n**Base URL**: `https://api.tavily.com/search`\n**Method**: POST\n\n### Required Parameters\n- `query`: The search query string\n- `api_key`: Your Tavily API key\n\n### Optional Parameters\n- `search_depth`: \"basic\" or \"advanced\" (default: \"basic\")\n- `topic`: \"general\" or \"news\" (default: \"general\") \n- `max_results`: Maximum number of results to return (default: 5)\n- `include_images`: Include query-related images (default: false)\n- `include_answer`: Include AI-generated answer (default: false)\n- `include_raw_content`: Include parsed HTML content (default: false)\n- `include_domains`: List of domains to include\n- `exclude_domains`: List of domains to exclude\n- `time_range`: Filter by time range (\"day\", \"week\", \"month\", \"year\")\n- `days`: Number of days back for news results (default: 3)\n\n### Example Request\n```json\n{\n    \"api_key\": \"tvly-YOUR_API_KEY\",\n    \"query\": \"Who is Leo Messi?\",\n    \"search_depth\": \"basic\",\n    \"include_answer\": false,\n    \"include_images\": true,\n    \"max_results\": 5\n}\n```\n"
      },
      "typeVersion": 1
    },
    {
      "id": "6c47edec-6c6e-460d-b098-f9a26caa5f8e",
      "name": "Note adhésive",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
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        "width": 640,
        "height": 720,
        "content": "## Tavily API Extract Endpoint \n\n**Base URL**: `https://api.tavily.com/extract`\n**Method**: POST\n\n### Required Parameters\n- `urls`: Single URL string or array of URLs\n- `api_key`: Your Tavily API key\n\n### Optional Parameters\n- `include_images`: Include extracted images (default: false)\n\n### Example Request\n```json\n{\n    \"api_key\": \"tvly-YOUR_API_KEY\", \n    \"urls\": [\n        \"https://en.wikipedia.org/wiki/Artificial_intelligence\",\n        \"https://en.wikipedia.org/wiki/Machine_learning\"\n    ]\n}\n```"
      },
      "typeVersion": 1
    },
    {
      "id": "cacae1d1-c9ec-4c2f-ba5d-f782257697cc",
      "name": "Note adhésive2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
        "color": 3,
        "width": 420,
        "height": 540,
        "content": "## Tavily API Documentation\n\nThe Tavily REST API provides seamless access to Tavily Search, a powerful search engine for LLM agents, and Tavily Extract, an advanced web scraping solution optimized for LLMs.\n\nhttps://docs.tavily.com/docs/rest-api/examples\n\nhttps://docs.tavily.com/docs/rest-api/api-reference#parameters\n\nThe Tavily API provides two main endpoints for search and data extraction.\n\nThe API returns JSON responses containing:\n\n- Search results with titles, URLs, and content\n- Extracted raw content from specified URLs\n- Response time metrics\n- Any error messages for failed requests\n\n\n**Note**: Error handling should check for failed results in the response before processing.\n"
      },
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    {
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      "name": "Note adhésive3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1240,
        -360
      ],
      "parameters": {
        "width": 420,
        "height": 360,
        "content": "## Tavily Use Cases\n\n📜 Why Use Tavily API for Data Enrichment?\n\nhttps://docs.tavily.com/docs/use-cases/data-enrichment\n\n💡 Why Use Tavily API for Company Research?\n\nhttps://docs.tavily.com/docs/use-cases/company-research\n\n🔍 GPT Researcher\n\nhttps://docs.tavily.com/docs/gpt-researcher/introduction"
      },
      "typeVersion": 1
    },
    {
      "id": "7e4d0b3c-761d-42b9-bbbe-6ceb366fdc6f",
      "name": "Tavily Search",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -580,
        -180
      ],
      "parameters": {
        "url": "https://api.tavily.com/search",
        "body": "={\n    \"api_key\": \"tvly-YOUR_API_KEY\",\n    \"query\": \"What is n8n?\",\n    \"search_depth\": \"basic\",\n    \"include_answer\": false,\n    \"include_images\": true,\n    \"include_image_descriptions\": true,\n    \"include_raw_content\": false,\n    \"max_results\": 5,\n    \"include_domains\": [],\n    \"exclude_domains\": []\n}",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "contentType": "raw",
        "rawContentType": "application/json"
      },
      "typeVersion": 4.2
    },
    {
      "id": "47c0bfcf-a187-4b15-b208-2458c934d5f7",
      "name": "Tavily Extract",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        40,
        -400
      ],
      "parameters": {
        "url": "https://api.tavily.com/extract",
        "body": "={\n    \"api_key\": \"tvly-YOUR_API_KEY\",\n    \"urls\": [\n        \"https://en.wikipedia.org/wiki/Artificial_intelligence\"\n    ]\n}",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "contentType": "raw",
        "rawContentType": "application/json"
      },
      "typeVersion": 4.2
    },
    {
      "id": "47791d39-087b-4104-aa0d-ef98deee945c",
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      "position": [
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      "parameters": {
        "color": 7,
        "width": 660,
        "height": 1020,
        "content": "## Tavily API Overview\nhttps://docs.tavily.com/docs/welcome\n\nThe Tavily API provides a specialized search engine built specifically for AI agents and LLM applications, offering two main endpoints:\n\n## Search Endpoint\n\nThe search endpoint enables intelligent web searching with:\n\n**Key Features**\n- Query-based search with customizable depth (\"basic\" or \"advanced\")\n- Topic filtering for general or news content\n- Control over result quantity and content type\n- Domain inclusion/exclusion capabilities\n- Time range filtering and news date restrictions\n\n## Extract Endpoint\n\nThe extract endpoint focuses on content retrieval:\n\n**Key Features**\n- Single or batch URL processing\n- Raw content extraction\n- Optional image extraction\n- Structured response format\n\n## Implementation Benefits\n\n**For AI Integration**\n- Optimized for RAG (Retrieval Augmented Generation)\n- Single API call handles searching, scraping and filtering\n- Customizable response formats\n- Built-in content relevance scoring\n\n**Technical Advantages**\n- JSON response format\n- Error handling for failed requests\n- Response time metrics\n- Flexible content filtering options\n\n\nThis API is designed to simplify the integration of real-time web data into AI applications while ensuring high-quality, relevant results through intelligent processing and filtering."
      },
      "typeVersion": 1
    },
    {
      "id": "76b291bc-8c34-44f1-b366-09c9f51089e2",
      "name": "Get Top Result",
      "type": "n8n-nodes-base.set",
      "position": [
        -700,
        140
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "a73e848c-f7e7-4b3a-ae99-930c577b47be",
              "name": "results",
              "type": "object",
              "value": "={{ $json.results.first() }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "4b098e57-eff2-4e70-9429-23b5c3d936c2",
      "name": "Tavily Extract Top Search",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -480,
        140
      ],
      "parameters": {
        "url": "https://api.tavily.com/extract",
        "body": "={\n    \"api_key\": \"{{ $('Tavily API Key').item.json.api_key }}\",\n    \"urls\": [\n        \"{{ $json.results.url }}\"\n    ]\n}",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "contentType": "raw",
        "rawContentType": "application/json"
      },
      "typeVersion": 4.2
    },
    {
      "id": "f593e164-1c9d-46e6-a619-39fe621c829f",
      "name": "Filtrer > 90%",
      "type": "n8n-nodes-base.set",
      "position": [
        -920,
        140
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "8fd0cfc4-7adc-45f9-a278-d217e362ebfb",
              "name": "results",
              "type": "array",
              "value": "={{ $json.results.filter(item => item.score > 0.80) }}"
            }
          ]
        },
        "includeOtherFields": true
      },
      "typeVersion": 3.4
    },
    {
      "id": "fadd100c-0335-42c2-9c3d-48e6d17eb2f9",
      "name": "Tavily Search Topic",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -1140,
        140
      ],
      "parameters": {
        "url": "https://api.tavily.com/search",
        "body": "={\n    \"api_key\": \"{{ $json.api_key }}\",\n    \"query\": \"{{ $('Provide search topic via Chat window').item.json.chatInput }}\",\n    \"search_depth\": \"basic\",\n    \"include_answer\": false,\n    \"include_images\": true,\n    \"include_image_descriptions\": true,\n    \"include_raw_content\": false,\n    \"max_results\": 5,\n    \"include_domains\": [],\n    \"exclude_domains\": []\n}",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "contentType": "raw",
        "rawContentType": "application/json"
      },
      "typeVersion": 4.2
    },
    {
      "id": "1bc5a21f-0f96-4951-9c88-0bec00b9c586",
      "name": "Modèle de chat OpenAI",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -240,
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      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "jEMSvKmtYfzAkhe6",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "994bb3ee-598b-4d3f-bcfc-16c9cca36657",
      "name": "Résumer Web Page Content",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        -260,
        140
      ],
      "parameters": {
        "text": "=Summarize this web content and provide in Markdown format:  {{ $json.results[0].raw_content }}",
        "promptType": "define"
      },
      "typeVersion": 1.5
    },
    {
      "id": "d5520da7-f6bc-470e-ab96-e04097041f08",
      "name": "Note adhésive5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
        "color": 5,
        "width": 1800,
        "height": 400,
        "content": "## Tavily Search and Extract with AI Summarization Example"
      },
      "typeVersion": 1
    },
    {
      "id": "9bd6c18e-aabf-4719-b9c4-ac91b36891a1",
      "name": "Tavily API Key",
      "type": "n8n-nodes-base.set",
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      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "035660a9-bb58-4ecb-bad3-7f4d017fa69f",
              "name": "api_key",
              "type": "string",
              "value": "tvly-YOUR_API_KEY"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "41f36ad7-7a2b-4732-89ec-fe6500768631",
      "name": "Provide search topic via Chat window",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        -1580,
        140
      ],
      "webhookId": "6b8f316b-776e-429a-8699-55f230c3a168",
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "0213756a-35c4-46a8-9b79-2e8a81852177",
      "name": "Note adhésive6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "color": 7,
        "height": 80,
        "content": "### Tavily API Key\nhttps://app.tavily.com/home"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
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        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Summarize Web Page Content",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
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    },
    "fadd100c-0335-42c2-9c3d-48e6d17eb2f9": {
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            "type": "main",
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    "4b098e57-eff2-4e70-9429-23b5c3d936c2": {
      "main": [
        [
          {
            "node": "Summarize Web Page Content",
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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

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.

Informations sur le workflow
Niveau de difficulté
Avancé
Nombre de nœuds17
Catégorie-
Types de nœuds6
Description de la difficulté

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

Auteur
Joseph LePage

Joseph LePage

@joe

As an AI Automation consultant based in Canada, I partner with forward-thinking organizations to implement AI solutions that streamline operations and drive growth.

Liens externes
Voir sur n8n.io

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Catégories: 34