Building your first WhatsApp chatbot

Creates an AI-powered WhatsApp chatbot that acts as a sales agent using product catalog data from vector storage for intelligent customer responses.

workflowlead_generation

by Jimleukon n8n

Nodes

Triggers

Platform

n8n

Tech Stack

OpenAI

AI Agent

Tool Vector Store

Document Default Data Loader

Text Splitter Recursive Character Text Splitter

Vector Store In Memory

How It Works

This workflow builds a WhatsApp chatbot backed by an AI agent that can intelligently answer customer questions about products. It processes product catalog documents, stores them in a vector database for quick retrieval, and responds to WhatsApp messages using contextual product information.

Import and process product catalog

Retrieves product brochure data via HTTP request and extracts text contents for processing.

Build vector store knowledge base

Uploads processed text content to in-memory vector store to create searchable product catalog database.

Capture WhatsApp messages

Uses WhatsApp trigger to receive customer messages and filters out non-text message types.

Process messages with AI agent

Sends customer messages to AI agent which queries the product catalog using vector store tools.

Attached Files

workflow.json