Library / RAG & Knowledge Bases
RAG & Knowledge Bases
Answer WhatsApp Business Questions with an OpenAI RAG Chatbot
When a WhatsApp message arrives via the webhook, an OpenAI agent searches Google Drive documents stored in Qdrant and replies on WhatsApp.
What it does
# STEP 4 ## RAG System * *Respond* webhook receives various POST Requests from Meta regarding WhatsApp messages (user messages + status notifications) * Check if the incoming JSON contains user message * Echo back the text message to the user. This is a custom message, not a WhatsApp Business template message
The steps
- Respond to Webhook
- AI Agent
- OpenAI Chat Model
- When clicking ‘Test workflow’
- Qdrant Vector Store
- Create collection
- Refresh collection
- Get folder
- Download Files
- Embeddings OpenAI
- Default Data Loader
- Token Splitter
- Verify
- Respond
22 steps in total.
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