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Automate restaurant customer service with WhatsApp and Llama AI chatbot

Chatbots & assistants workflow for n8n with 8 active steps. Starts with WhatsApp Trigger. Uses Ollama. Integrations include WhatsApp Business, Ollama, PostgreSQL.

What it does

8 active nodes · Starts with WhatsApp Trigger.

Steps in the template include:

  • Send Reply to Customer (WhatsApp Business Cloud) — send
  • Wait For Response (Wait)
  • Receive WhatsApp Message (WhatsApp Trigger)
  • Extract Customer Query (AI Agent)

Nodes and integrations

  • WhatsApp Business Cloud ×2
  • Wait
  • WhatsApp Trigger
  • AI Agent
  • Ollama Chat Model
  • If
  • Postgres
See the author’s step names
  • Send Reply to Customer (WhatsApp Business Cloud) — send
  • Wait For Response (Wait)
  • Receive WhatsApp Message (WhatsApp Trigger)
  • Extract Customer Query (AI Agent)
  • Generate Reply with AI (Ollama Chat Model)
  • Check If Table Booking Required (If)
  • Create New Table Booking (Postgres)
  • Send Booking Confirmation to Customer (WhatsApp Business Cloud) — send

Accounts and credentials

  • WhatsApp Business
  • Ollama instance
  • PostgreSQL

Credential types in the graph: whatsAppApi, whatsAppTriggerApi, ollamaApi, postgres

AI models and swaps

Ollama · Chat

llama3.2-16000:latest in Generate Reply with AI. Potentially swappable with a compatible n8n chat model node. Test the replacement with the next step.

Resource information

Credit basis
Author listed by n8n
Pricing
Template access shown on n8n
License
Not specified
Last record update
Nov 5, 2026