Automated Semantic Web Search & Result Re-Ranking
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Boosts research efficiency with AI-powered semantic search and intelligent result re-ranking. Get precise answers by refining web queries.
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About This Workflow
How it works
This workflow leverages n8n to create an intelligent web search and semantic re-ranking system. It begins by accepting a research question via a webhook. A date/time node captures the current date for context. The core logic involves using an LLM chain to process the initial webhook input and potentially a previous query output. It then performs a web search (using Brave Search API, requiring an API key setup) to gather results. These results are aggregated and then semantically re-ranked by another LLM chain, which also extracts relevant information and aims to identify potential improvements for future queries. The final output provides the top-ranked URLs and extracted information, responding via webhook.
Key Features
- AI-powered semantic analysis for precise query understanding.
- Intelligent re-ranking of web search results.
- Automated extraction of key information from relevant links.
- Dynamic query refinement for improved search outcomes.
- Integrates with Brave Search API for comprehensive web data.
How To Use
- Set up Brave Search API Key: Visit
api.search.brave.com, create an account, subscribe to the free plan, and generate an API key. Update theX-Subscription-Tokenin the "Query 1" node (or whichever node initiates the Brave Search). - Configure Webhook: Set up the initial webhook to receive the user's research question.
- LLM Node Configuration: Configure the
Semantic Search - Query MakerandSemantic Search - Result Re-Rankernodes with appropriate LLM providers and API keys (e.g., OpenAI). Ensure the prompts within these nodes are correctly formatted and reference the correct input data. - Input Data: The workflow expects a JSON payload at the webhook trigger containing a
queryobject with aResearch Questionfield. - Output: The workflow responds to the webhook with the top-ranked URLs and extracted information.
Apps Used
Workflow JSON
{
"id": "ee5246d7-0cb9-474b-b6e0-2f71ee1f6948",
"name": "Automated Semantic Web Search & Result Re-Ranking",
"nodes": 0,
"category": "AI & LLM",
"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: ee5246d7-0cb9...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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