AI Agents
DeepSeek chat examples using Ollama and the API
3 nodes
490
147
Automatic trigger
Loading workflow…
Workflow Description
A workflow template that integrates AI agents with advanced language models for interactive conversations. It maintains conversation context through memory buffers and processes complex requests using OpenAI or Ollama, enabling production-ready chatbot automation.
How it works
- 1.Trigger conversation through chat interface
- 2.Route request to intelligent agent for processing
- 3.Invoke appropriate language model (OpenAI or Ollama)
- 4.Retain conversation history in memory buffer
- 5.Chain LLM operations for sequential execution
- 6.Deliver response to user
Use cases
- Building context-aware customer support chatbots
- Automating multilingual virtual assistant workflows
- Processing complex queries with continuous conversation memory
Requirements
- OpenAI API keys or local Ollama server setup
- Understanding of LLM chains and agent workflows
- Adequate memory allocation for extended conversations
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Chat Trigger
LLM Chain
Lm Chat Ollama
Details
Trigger
Automatic trigger
Nodes
3
Apps
3
Views
490
Downloads
147
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 (3)
When chat message received
Chat Trigger
Basic LLM Chain2
LLM Chain
Sticky Note
Sticky Note
Sticky Note1
Sticky Note
Ollama DeepSeek
Lm Chat Ollama
Sticky Note2
Sticky Note
Sticky Note3
Sticky Note
Sticky Note4
Sticky Note
Sticky Note5
Sticky Note
Sticky Note6
Sticky Note
Stay in the loop
Fresh workflows, straight to your inbox
Get newly published DROPIDEA workflows, a clear overview of what they do, and a link to explore them.
- New workflows
- Clear overviews
- Setup guides