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Darmowy szablon automatyzacji

🤖🔍 Najlepszy darmowy badacz wspomagany sztuczną inteligencją z wyszukiwarką i ekstraktorem w sieci Tavily

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Konfiguracja szablonu automatyzacji w n8n

Ten szablon workflow w n8n integruje API wyszukiwania i ekstrakcji Tavily z możliwościami podsumowania treści przez sztuczną inteligencję, umożliwiając efektywne przetwarzanie treści internetowych.

Szybka konfiguracja

  • Pobierz klucz API Tavily ze strony: https://app.tavily.com/home
  • Zastąp tvly-YOUR_API_KEY w węźle "Tavily API Key"
  • Podłącz swoje dane uwierzytelniające OpenAI do węzła "OpenAI Chat Model"
  • Wdróż workflow i uruchom trigger czatu

Kluczowe funkcje

Wyszukiwanie i ekstrakcja

  • Inteligentne wyszukiwanie w sieci z filtrowaniem wyników pod kątem relewantności
  • Automatyczna ekstrakcja treści z najlepszych wyników
  • Podsumowanie treści przez AI w formacie markdown

Interakcja z użytkownikiem

  • Wprowadzanie tematu wyszukiwania poprzez czat
  • Pipeline przetwarzania w czasie rzeczywistym
  • Strukturalne wyjście w formacie markdown

Przykłady zastosowań

Ta automatyzacja znajduje zastosowanie w wielu scenariuszach biznesowych i badawczych, gdzie wymagane jest szybkie i inteligentne przetwarzanie treści internetowych. Oto kilka potencjalnych zastosowań:

  • Badania rynkowe - automatyczne zbieranie i podsumowywanie informacji o konkurencji
  • Monitorowanie marki - śledzenie wzmianek w mediach i internecie
  • Tworzenie treści - generowanie materiałów na podstawie aktualnych źródeł
  • Analityka trendów - identyfikacja i podsumowanie pojawiających się trendów
  • Edukacja i badania - szybkie zbieranie materiałów źródłowych do prac naukowych
  • Obsługa klienta - automatyczne wyszukiwanie rozwiązań problemów technicznych
  • Dziennikarstwo - wsparcie w zbieraniu informacji do artykułów

Workflow demonstruje praktyczną implementację endpointów API Tavily, obsługując cały proces od wyszukiwania do podsumowania w jednym zautomatyzowanym pipeline.

   Skopiuj kod szablonu   
{"id":"QqbYH25we4JDZrZD","meta":{"instanceId":"31e69f7f4a77bf465b805824e303232f0227212ae922d12133a0f96ffeab4fef"},"name":"🔍🛠️ Tavily Search & Extract - Template","tags":[],"nodes":[{"id":"e029204b-2e05-4262-b464-7c1b3a995f91","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[-780,-940],"parameters":{"color":4,"width":520,"height":940,"content":"## Tavily API Search Endpointnn**Base URL**: `https://api.tavily.com/search`n**Method**: POSTnn### Required Parametersn- `query`: The search query stringn- `api_key`: Your Tavily API keynn### Optional Parametersn- `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 includen- `exclude_domains`: List of domains to excluden- `time_range`: Filter by time range ("day", "week", "month", "year")n- `days`: Number of days back for news results (default: 3)nn### Example Requestn```jsonn{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": 5n}n```n"},"typeVersion":1},{"id":"6c47edec-6c6e-460d-b098-f9a26caa5f8e","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[-220,-940],"parameters":{"color":6,"width":640,"height":720,"content":"## Tavily API Extract Endpoint nn**Base URL**: `https://api.tavily.com/extract`n**Method**: POSTnn### Required Parametersn- `urls`: Single URL string or array of URLsn- `api_key`: Your Tavily API keynn### Optional Parametersn- `include_images`: Include extracted images (default: false)nn### Example Requestn```jsonn{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":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[-1240,-940],"parameters":{"color":3,"width":420,"height":540,"content":"## Tavily API DocumentationnnThe 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.nnhttps://docs.tavily.com/docs/rest-api/examplesnnhttps://docs.tavily.com/docs/rest-api/api-reference#parametersnnThe Tavily API provides two main endpoints for search and data extraction.nnThe API returns JSON responses containing:nn- Search results with titles, URLs, and contentn- Extracted raw content from specified URLsn- Response time metricsn- Any error messages for failed requestsnnn**Note**: Error handling should check for failed results in the response before processing.n"},"typeVersion":1},{"id":"16e977f4-e72d-474c-a04b-3f3ad51cc322","name":"Sticky Note3","type":"n8n-nodes-base.stickyNote","position":[-1240,-360],"parameters":{"width":420,"height":360,"content":"## Tavily Use Casesnn📜 Why Use Tavily API for Data Enrichment?nnhttps://docs.tavily.com/docs/use-cases/data-enrichmentnn💡 Why Use Tavily API for Company Research?nnhttps://docs.tavily.com/docs/use-cases/company-researchnn🔍 GPT Researchernnhttps://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","name":"Sticky Note4","type":"n8n-nodes-base.stickyNote","position":[-1940,-1020],"parameters":{"color":7,"width":660,"height":1020,"content":"## Tavily API Overviewnhttps://docs.tavily.com/docs/welcomennThe Tavily API provides a specialized search engine built specifically for AI agents and LLM applications, offering two main endpoints:nn## Search EndpointnnThe search endpoint enables intelligent web searching with:nn**Key Features**n- Query-based search with customizable depth ("basic" or "advanced")n- Topic filtering for general or news contentn- Control over result quantity and content typen- Domain inclusion/exclusion capabilitiesn- Time range filtering and news date restrictionsnn## Extract EndpointnnThe extract endpoint focuses on content retrieval:nn**Key Features**n- Single or batch URL processingn- Raw content extractionn- Optional image extractionn- Structured response formatnn## Implementation Benefitsnn**For AI Integration**n- Optimized for RAG (Retrieval Augmented Generation)n- Single API call handles searching, scraping and filteringn- Customizable response formatsn- Built-in content relevance scoringnn**Technical Advantages**n- JSON response formatn- Error handling for failed requestsn- Response time metricsn- Flexible content filtering optionsnnnThis 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":"Filter > 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":"OpenAI Chat Model","type":"@n8n/n8n-nodes-langchain.lmChatOpenAi","position":[-240,300],"parameters":{"options":{}},"credentials":{"openAiApi":{"id":"jEMSvKmtYfzAkhe6","name":"OpenAi account"}},"typeVersion":1.1},{"id":"994bb3ee-598b-4d3f-bcfc-16c9cca36657","name":"Summarize 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":"Sticky Note5","type":"n8n-nodes-base.stickyNote","position":[-1680,40],"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","position":[-1360,140],"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":"Sticky Note6","type":"n8n-nodes-base.stickyNote","position":[-1420,320],"parameters":{"color":7,"height":80,"content":"### Tavily API Keynhttps://app.tavily.com/home"},"typeVersion":1}],"active":false,"pinData":{},"settings":{"executionOrder":"v1"},"versionId":"e1f22fbb-9663-405c-b7b1-7e8b2d54ad0f","connections":{"Filter > 90%":{"main":[[{"node":"Get Top Result","type":"main","index":0}]]},"Get Top Result":{"main":[[{"node":"Tavily Extract Top Search","type":"main","index":0}]]},"Tavily API Key":{"main":[[{"node":"Tavily Search Topic","type":"main","index":0}]]},"OpenAI Chat Model":{"ai_languageModel":[[{"node":"Summarize Web Page Content","type":"ai_languageModel","index":0}]]},"Tavily Search Topic":{"main":[[{"node":"Filter > 90%","type":"main","index":0}]]},"Tavily Extract Top Search":{"main":[[{"node":"Summarize Web Page Content","type":"main","index":0}]]},"Provide search topic via Chat window":{"main":[[{"node":"Tavily API Key","type":"main","index":0}]]}}}
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