This n8n workflow automates a sophisticated web search process combined with semantic ranking and data extraction to deliver highly relevant search results in response to complex user queries. The process begins with setting up a free Brave Web Search API key, which is essential for executing authenticated web searches. When a user submits a query via a webhook, the workflow triggers a chain of intelligent nodes that craft a refined search query using multiple language models, including OpenAI and Google PaLM, to ensure the search is precise and tailored to the user’s intent.
The search query is then executed via the Brave web search API, retrieving results that are subsequently passed through a semantic search and ranking node. This node uses advanced language models to rank results based on relevance and extract key insights from descriptions, which are then structured into a clear, concise output. The top-ranked URLs, along with extracted information, are finally returned to the user through a response node, formatted as a JSON package containing titles, links, descriptions, and summarized insights.
Practical use cases include research assistance, competitive analysis, content curation, and any application requiring fast, accurate, and contextually relevant web data retrieval. This workflow exemplifies how automation can streamline complex information gathering tasks, providing actionable and structured web insights in real time.
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