This workflow streamlines the process of conducting web searches, extracting relevant content, and generating summaries using the Tavily API integrated with n8n. It begins with a user-initiated chat trigger, where a search query (e.g., from a chatbot or form) is received. The workflow then performs a targeted search through the Tavily Search endpoint, filtering results based on relevance and score thresholds. The top search result is selected, and detailed content is retrieved via the Tavily Extract endpoint. Finally, the raw web content is processed through an AI language model (like OpenAI) to generate a concise Markdown summary, making the information easily digestible for users. This setup is ideal for automated research bots, knowledge bases, or any application needing real-time web content retrieval and summarization.
Automated Web Search and Content Summarization with Tavily API
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, httpRequest, set, stickyNote |
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