Intelligent web search and semantic result reordering
Workflow Description
An automation workflow that receives queries via webhook, searches web content using multiple AI models (Claude, OpenAI, Gemini), and intelligently reorders results based on semantic relevance and query alignment. Returns optimized results through the webhook response.
How it works
- 1.Receive query through webhook endpoint
- 2.Fetch relevant web content and metadata
- 3.Process results across Claude, OpenAI, and Gemini models
- 4.Reorder results by semantic relevance and context match
- 5.Return ranked results via webhook response
Use cases
- Enhance search quality with AI-powered semantic ranking
- Filter and rank articles by conceptual relevance to queries
- Provide refined answers to complex research questions
- Build high-precision internal search systems
Requirements
- API keys for Anthropic, OpenAI, and Google Gemini
- Configured webhook endpoint for incoming queries
- Understanding of natural language processing and semantic ranking
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (20)
Sticky Note4
Sticky Note
Sticky Note
Sticky Note
Date & Time
Date Time
Webhook
Webhook
Auto-fixing Output Parser6
Output Parser Autofixing
Auto-fixing Output Parser
Output Parser Autofixing
Structured Output Parser1
Output Parser Structured
Query-1 Combined
Code
Respond to Webhook
Webhook
Semantic Search - Result Re-Ranker
LLM Chain
Query
HTTP Request
Webhook Call
HTTP Request
Sticky Note6
Sticky Note
Semantic Search -Query Maker
LLM Chain
Anthropic Chat Model
Lm Chat Anthropic
OpenAI Chat Model
OpenAI
Structured Output Parser2
Output Parser Structured
Parser Model
Gemini Model
Agent Model
Gemini Model
Sticky Note5
Sticky Note