AI Agents
Build an intelligent web search engine with AI Agent
15 nodes
303
174
Automatic trigger
Workflow Description
Automation that creates an advanced web search engine powered by an AI agent with persistent conversation memory and OpenAI integration. Delivers contextual search results and preserves conversation history for seamless multi-session interaction.
How it works
- 1.Receive search queries through the chat interface
- 2.Process queries using AI agent powered by OpenAI
- 3.Execute web search tool and retrieve relevant results
- 4.Store context and history in conversation memory buffer
- 5.Display results with explanations and recommendations
Use cases
- Intelligent web search with understanding of user intent and context
- Build a personal search assistant that learns from prior interactions
Requirements
- OpenAI API key configured
- Access to a web search tool or integration
- AI agent setup with active conversation memory buffer
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
AI Agent
Chat Trigger
Tool
Memory
OpenAI
Details
Trigger
Automatic trigger
Nodes
15
Apps
5
Views
303
Downloads
174
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 (15)
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AI Agent
Agent
When chat message received
Chat Trigger
MCP Get Brave Tools
Mcp Client Tool
MCP Execute Brave Search
Mcp Client Tool
Simple Memory
Memory Buffer Window
gpt-4o
OpenAI
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