Building a WhatsApp Chatbot
Explore this Workflow. Built for next generation AI app & agent building.
This rantir template builds a simple WhatsApp chatbot acting as a Sales Agent. The agent is backed by a product catalog vector store to better answer user questions.
This template is intended to help introduce rantir users who are interested in building with WhatsApp.
How it works
- This template is divided into two parts: creating the product catalog vector store and building the WhatsApp AI chatbot.
- A product brochure is imported via an HTTP request node, and its text contents are extracted.
- The text contents are then uploaded to the in-memory vector store to build a knowledge base for the chatbot.
- A WhatsApp trigger is used to capture messages from customers, with non-text messages being filtered out.
- The customer's message is sent to the AI Agent, which queries the product catalog using the vector store tool.
- The Agent's response is sent back to the user via the WhatsApp node.
How to use
Once you've set up and configured your WhatsApp account and credentials:
- First, populate the vector store by clicking the "Test Workflow" button.
- Next, activate the workflow to enable the WhatsApp chatbot.
- Message your designated WhatsApp number, and you should receive a message from the AI sales agent.
- Tweak the data source and behavior as required.
Requirements
- WhatsApp Business Account
- OpenAI for LLM
Customizing this workflow
- Upgrade the vector store to Qdrant for persistence and production use cases.
- Handle different WhatsApp message types for a richer and more engaging experience for customers.
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