Semantic Web Search & Re-Ranking

October 5, 2025

Aladuddin Aladin

This workflow enhances web research by combining Brave Web Search API with LLM-powered semantic re-ranking. It generates optimized queries, fetches results, ranks them by relevance, and extracts the most useful insights — all delivered via webhook. Perfect for researchers, analysts, and automation builders who want accurate, context-aware search results without manual filtering.

Key Features:

  • 🌐 Smart Query Generation – Uses multi-step reasoning (via LLMs) to create effective search queries.
  • 📊 Result Re-Ranking – Re-orders search results based on semantic relevance to the research question.
  • 📝 Information Extraction – Summarizes and highlights key insights directly from descriptions.
  • 🔗 Webhook Integration – Accepts user queries via webhook and returns ranked results in structured JSON.
  • 🔑 Brave API Integration – Free search tier supported; just add your API key.
  • 🔄 Customizable Models – Compatible with OpenAI, Anthropic Claude, and Google Gemini LLMs.
  • ⚙️ Flexible Input/Output – Can be adapted for webhooks or other input nodes for seamless integration.

About the author

Alauddin Aladin is an AI Automation expert helping businesses streamline operations, boost productivity, and scale effortlessly using tools like Make.com and n8n. With over a decade of experience in digital systems and automation strategy, Alauddin empowers entrepreneurs to save time and grow smarter through intelligent workflows and AI-driven solutions.

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