AI Agents
Automated workflow
10 nodes
227
136
Automatic trigger
Workflow Description
An automated workflow powered by an AI agent that processes user inquiries through multiple tools and external services. It receives questions via a chat interface, routes them intelligently, retrieves data from Wikipedia or APIs, maintains conversation history, and generates contextual responses using a local language model.
How it works
- 1.Trigger the workflow when a user sends a message through the manual chat interface
- 2.Route the inquiry to the AI agent which evaluates the best available tool for the task
- 3.Retrieve information from Wikipedia or execute HTTP requests to external services
- 4.Store conversation history in a memory buffer to preserve context for subsequent interactions
- 5.Process the response through a local Ollama language model and return a coherent answer
Use cases
- Building an intelligent assistant that answers questions by combining Wikipedia and external API data sources
- Creating a conversational AI system that improves responses over time by maintaining dialogue history
Requirements
- Ollama language model service running locally on your infrastructure
- Integration credentials for external APIs or direct access to data sources like Wikipedia
Service Value
Ready-made workflow template for automation delivery and service execution.
Apps Used
Manual Chat Trigger
Tool
Memory
AI Agent
HTTP Request
Lm Chat Ollama
Details
Trigger
Automatic trigger
Nodes
10
Apps
6
Views
227
Downloads
136
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 (10)
Sticky Note4
Sticky Note
On new manual Chat Message
Manual Chat Trigger
Wikipedia
Tool Wikipedia
Sticky Note3
Sticky Note
Sticky Note6
Sticky Note
Window Buffer Memory
Memory Buffer Window
AI Agent
Agent
Weather HTTP Request
HTTP Request
Ollama Chat Model
Lm Chat Ollama
Sticky Note
Sticky Note