Intelligent web query and semantic reordering flow
Workflow Description
An intelligent automation flow that receives queries via webhook, processes them through multiple language models (Anthropic, OpenAI, and Gemini), and returns semantically reordered results in structured format via HTTP or direct response.
How it works
- 1.Receive incoming query through webhook and parse request parameters
- 2.Process query through multiple LLM chains to generate rich results
- 3.Reorder results semantically using structured output parser
- 4.Send reordered results via HTTP endpoint or direct webhook response
Use cases
- Smart search engines that rank results by semantic relevance
- Question-answering systems with automatic answer reordering
- Multi-language query processing across different language models
- Dynamic content search with intelligent result ranking
Requirements
- API keys for Anthropic, OpenAI, and Google Gemini
- Content database or external data source to query against
- Advanced output formatting and error handling capabilities
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