Intelligent WhatsApp replies powered by OpenAI and vector knowledge base
Workflow Description
Automates WhatsApp message responses using an AI agent that retains conversation context in memory and searches a vector database for accurate, contextual answers. Incoming messages trigger intelligent processing and automatic replies.
How it works
- 1.Receive incoming WhatsApp message from user
- 2.Process message through OpenAI agent with vector database retrieval
- 3.Send contextual automated reply back to WhatsApp contact
Use cases
- Advanced self-service customer support with conversation memory
- Answer FAQ and product questions using custom knowledge base
Requirements
- Active WhatsApp Business API connection
- OpenAI API key with sufficient credits
- Reference documents or FAQ content to populate vector database
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (28)
WhatsApp Trigger
Whats App Trigger
OpenAI Chat Model
OpenAI
Window Buffer Memory
Memory Buffer Window
Vector Store Tool
Tool Vector Store
Embeddings OpenAI
OpenAI
OpenAI Chat Model1
OpenAI
When clicking ‘Test workflow’
Manual Trigger
Embeddings OpenAI1
OpenAI
Default Data Loader
Document Default Data Loader
Recursive Character Text Splitter
Text Splitter Recursive Character Text Splitter
Extract from File
Extract From File
get Product Brochure
HTTP Request
Reply To User
Whats App
Reply To User1
Whats App
Product Catalogue
Vector Store In Memory
Sticky Note
Sticky Note
Sticky Note1
Sticky Note
Create Product Catalogue
Vector Store In Memory
Sticky Note2
Sticky Note
Sticky Note3
Sticky Note
Sticky Note4
Sticky Note
Sticky Note5
Sticky Note
Sticky Note6
Sticky Note
Sticky Note7
Sticky Note
Handle Message Types
Switch
Sticky Note8
Sticky Note
Sticky Note9
Sticky Note
AI Sales Agent
Agent