AI Agents
Chat assistant with SerpAPI web search and conversational memory
5 nodes
567
150
Automatic trigger
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Workflow Description
Automation that constructs a smart agent to process user queries via a chat entry point, maintains context through memory, and invokes external search tools when needed via OpenAI to deliver accurate, contextual responses.
How it works
- 1.Receive user query through chat trigger endpoint
- 2.Load previous context from sliding window memory
- 3.Route query to OpenAI agent with available search tools
- 4.Execute search tool when necessary to fetch current information
- 5.Return intelligent response and persist context in memory
Use cases
- Build customer service bot that answers questions while retaining conversation history
- Create intelligent assistant that searches for current information and presents it contextually
- Develop interactive agent for handling complex multi-step inquiries
Requirements
- OpenAI API key to access the language model
- Search service API key (SerpApi) for executing search tool
- Channel or interface to receive user messages
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
OpenAI
Memory
Tool
Chat Trigger
AI Agent
Details
Trigger
Automatic trigger
Nodes
5
Apps
5
Views
567
Downloads
150
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 (5)
OpenAI Chat Model
OpenAI
Window Buffer Memory
Memory Buffer Window
SerpAPI
Tool Serp Api
When chat message received
Chat Trigger
AI Agent
Agent
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