Intelligent Web Query and Semantic Re-Ranking Flow
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Automate intelligent web queries and semantic re-ranking of search results to uncover the most relevant information. This flow leverages AI to refine search queries and present precise, ranked results.
About This Workflow
This n8n workflow, "Intelligent Web Query and Semantic Re-Ranking Flow," is designed to enhance your web research capabilities by automating sophisticated information retrieval. It begins by setting up a free Brave Web Search API key, allowing programmatic access to their search engine. The workflow then processes initial web search results, aggregating key information such as titles, URLs, and descriptions. Crucially, it incorporates AI-powered semantic re-ranking to intelligently refine and prioritize these results based on deeper meaning and relevance. Finally, it formats the top-ranked results for easy consumption, making it ideal for developers and researchers who need highly accurate and semantically relevant web data.
Key Features
- Automated Web Querying: Programmatically fetch web search results using the Brave Search API.
- Semantic Re-Ranking: Utilize AI to re-order search results based on semantic relevance, not just keywords.
- Data Aggregation: Consolidate important information like titles, URLs, and descriptions from search results.
- Structured Output: Present the most relevant, top-ranked results in a clear and actionable format.
- Flexible Integration: Designed to be triggered via webhook for seamless integration into other systems.
How To Use
- Obtain Brave Search API Key: Visit
api.search.brave.com, create an account, subscribe to the free plan, and generate an API key. Update the 'X-Subscription-Token' in the 'Query 1' node with your key. - Configure Webhook Trigger: Set up the 'Webhook' node to receive incoming requests. Ensure the 'path' matches your desired endpoint.
- Connect and Execute: Link the 'Webhook' node to the 'Date & Time' node, then to the 'Query 1' node (which uses the Brave Search API).
- Process and Aggregate Results: Connect the 'Query 1' node to the 'Auto-fixing Output Parser' and then to the 'Query-1 Combined' code node to aggregate search result details.
- Semantic Re-Ranking: Connect the 'Query-1 Combined' node to the 'Auto-fixing Output Parser 2' and then to the 'Structured Output Parser 1' (configure the JSON schema for desired output).
- Respond to Webhook: Connect the final AI node to the 'Respond to Webhook' node to send the ranked results back to the caller. The response structure is pre-defined to highlight the top ranked URLs.
Apps Used
Workflow JSON
{
"id": "c91eb7f6-cdb5-412a-b174-42e7b9355fc8",
"name": "Intelligent Web Query and Semantic Re-Ranking Flow",
"nodes": 29,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: c91eb7f6-cdb5...
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