Chat agent answering weather and general info via Wikipedia tool
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Workflow Description
Advanced workflow combining a smart agent with conversational memory and search/request tools. Receives questions via manual chat interface, processes them through a local language model (Ollama), and maintains conversation history for improved responses. Creates a context-aware assistant capable of integrating multiple data sources.
How it works
- 1.Initiate conversation through manual chat interface
- 2.Route query to intelligent agent with access to search and HTTP request tools
- 3.Maintain conversation history in sliding window memory buffer
- 4.Process request via Ollama local model and deliver response
Use cases
- Build customer support agent that remembers context across conversations
- Create research agent integrating Wikipedia and external API data
- Develop advisory system that learns from historical interactions
Requirements
- Running Ollama server with deployed language model
- Internet connectivity for HTTP requests (optional)
- n8n interface for workflow management and monitoring
Service Value
Ready-made workflow template for automation delivery and service execution.
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 (6)
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
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