Automate Deep Web Research with AI-Powered Semantic Re-Ranking
Deliver highly relevant web results and extracted insights in seconds, reducing deep research time by over 80%.
Traditional web searches often yield overwhelming and unranked results, making deep research time-consuming and inefficient. This workflow leverages AI to intelligently refine search queries and semantically re-rank web results, delivering highly relevant, precise information and extracted insights in seconds.
Documentation
Intelligent Web Query and Semantic Re-Ranking Flow
This advanced n8n workflow revolutionizes your web research by combining intelligent query generation with semantic re-ranking of search results. It helps researchers, analysts, and content creators quickly obtain the most relevant information, eliminating manual sifting through countless links and accelerating decision-making.
Key Features
- AI-Powered Query Optimization: Dynamically refines your research questions into effective, short-tail search queries for superior web search results.
- Semantic Search Result Re-ranking: Intelligently analyzes and ranks the top 10 most relevant web links from search outputs.
- Automated Information Extraction: Precisely pulls key insights and details directly from search result descriptions.
- Adaptive Follow-up Query Generation: Evaluates initial search results and suggests improved queries for deeper, more targeted investigation.
- Instant API Integration: Seamlessly connects with Brave Search API for real-time, comprehensive web data retrieval.
How It Works
This workflow is triggered by an incoming webhook that provides your 'Research Question'. First, an AI model (`Semantic Search - Query Maker`) analyzes your question and generates an optimized, short-tail web search query, considering the current date and context. This refined query is then sent to the Brave Search API to fetch a comprehensive set of web results. A custom code node (`Query-1 Combined`) efficiently aggregates the titles, URLs, and descriptions from these results into a single text string. Subsequently, a second AI model (`Semantic Search - Result Re-Ranker`) processes this aggregated text, intelligently re-ranks the top 10 most relevant URLs, and extracts crucial information directly addressing your original research question. It also assesses the overall quality of the search results and dynamically suggests refined follow-up queries if the initial results are deemed insufficient. Finally, the workflow responds via webhook, delivering the ranked URLs, extracted insights, and any suggested follow-up queries in a structured JSON format for immediate use.