Automation library · Chat assistants

Automatic WhatsApp response with Groq LLM

Started by an incoming WhatsApp message, and works across WhatsApp. It puts Groq behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 6 steps, 1 branch: small enough to read in one sitting and change without fear.

SmallCalls a model: GroqRetrieval

6 stepsSmall: readable in one sitting
1Branch: places the flow splits
0Loops or waits
1Service it connects to

The flow

Starts it 1Model 3Logic 1Service 1

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

  1. 1Groq Chat ModelLm Chat GroqModel
  2. 2Simple MemoryMemory Buffer WindowModel
  3. 3Input SubmissionsWhats App triggerStarts it
  4. 4AI AgentAgentModel
  5. 5SignpostIfLogic
  6. 6OutputWhats AppService

How it's built

Starts on
An incoming WhatsApp message
Steps
6, with 1 branch
Size
Small: readable in one sitting
Connects to
WhatsApp
Model
Groq
Retrieval
Answers are drawn from documents you supply, not from the model alone

Questions

What does it need to run?

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

What starts it?

It starts on an incoming WhatsApp message.

Does it use AI?

Yes. It calls Groq. 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.