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, Gemini), performs semantic reordering of results, and returns organized responses instantly.
How it works
- 1.Receive incoming query via webhook trigger
- 2.Process query through parallel LLM chains with structured output parsing
- 3.Reorder and rank results based on semantic relevance
- 4.Return formatted response via webhook respondent
Use cases
- Enhance web search results with intelligent semantic reordering
- Handle complex natural language queries using multiple AI models in parallel
Requirements
- API keys for Anthropic, OpenAI, and Gemini services
- Understanding of LLM chain configuration and structured output parsing techniques
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