Overview
Per inbound WhatsApp message: classify intent, route free-form questions through Scavio + LLM, return sourced answer to user.
Trigger
Inbound WhatsApp message
Schedule
Event-driven (per inbound)
Workflow Steps
1
WhatsApp Trigger node fires on incoming message
n8n native node.
2
Switch node: scripted vs free-form intent
Regex or quick-classifier.
3
Free-form path: Scavio HTTP node
Search user's question scoped to your domain.
4
LLM node: ground answer in top 3 Scavio results
Strict citation prompt.
5
WhatsApp Send node: reply with grounded answer + source links
Conversational tone.
6
Log Q + A + sources to Postgres
For later analysis of common questions.
Python Implementation
Python
# n8n is the deliverable; HTTP node body shape:
# POST https://api.scavio.dev/api/v1/search
# headers: { x-api-key: <key> }
# body: { "query": "{{$json.messages[0].text.body}} site:yourcompany.com" }JavaScript Implementation
JavaScript
// Same — n8n's HTTP node is the integration surface.Platforms Used
Web search with knowledge graph, PAA, and AI overviews