Automation library · AI assistants

AI agent with Ollama

Started by an event in a connected app. It calls services over plain HTTP rather than through connectors. It puts a local model behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 6 steps: small enough to read in one sitting and change without fear.

SmallCalls a model: a local modelRetrieval

6 stepsSmall: readable in one sitting
0Branches: places the flow splits
0Loops or waits
0Services by connector: it calls them over plain HTTP

The flow

Starts it 1Model 5

The steps in the order they run, from what starts it.

  1. 1On new manual Chat MessageManual Chat triggerStarts it
  2. 2WikipediaTool WikipediaModel
  3. 3Window Buffer MemoryMemory Buffer WindowModel
  4. 4Weather HTTP RequestTool Http RequestModel
  5. 5Ollama Chat ModelLm Chat OllamaModel
  6. 6AI AgentAgentModel

How it's built

Starts on
An event in a connected app
Steps
6
Size
Small: readable in one sitting
Connects to
Nothing by connector; it calls services over plain HTTP
Model
a local model
Retrieval
Answers are drawn from documents you supply, not from the model alone

Questions

What does it need to run?

An n8n account, and a key for a local model. You connect your own accounts after importing it; none are included.

What starts it?

It starts on an event in a connected app.

Does it use AI?

Yes. It calls a local model. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Not long. At 6 steps it can be read in one sitting and changed without fear.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

Before you run it

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 6 steps before you point it at anything that matters.