Book dental appointments via chat using OpenAI, Qdrant, and Google Calendar
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 25 nodes and runs when a chat message arrives (plus 2 other triggers). Along the way it connects OpenAI Chat Model, Qdrant Vector Store, Embeddings OpenAI and HTTP Request. It also calls googleapis.com over HTTP.
How it runs
Trigger: When a chat message arrives (plus 2 other triggers).
- Configure Chat Endpoint (Code): runs custom JavaScript code
- Extract Knowledge Text (Extract from File): extracts data from a file (text)
- Configure and Validate Calendar Request (Code): runs custom JavaScript code
- Dental Receptionist (AI Agent): runs an AI agent, with model: Receptionist OpenAI Model; 3 tools (book_appointment, clinic_knowledge, calendar_availability); memory: Conversation Memory
- Validate Knowledge Text (Code): runs custom JavaScript code
- Request Valid (If): checks a condition and branches into true / false
- Index Clinic Knowledge (Qdrant Vector Store): stores documents in the Qdrant vector store, with embeddings: Upload Embeddings; document loader: Load Clinic Document
- Check Google Calendar Busy Times (HTTP Request): calls googleapis.com (POST)
- Return Calendar Result (Respond to Webhook): sends the response back to the webhook caller
- Calculate Available Slots (Code): runs custom JavaScript code
…plus 3 more steps. See the full node list below.
Services it uses
HTTP calls to: googleapis.com
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (16)
- Code
n8n-nodes-base.code - Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Qdrant Vector Store
@n8n/n8n-nodes-langchain.vectorStoreQdrant - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi - Http Request Tool
n8n-nodes-base.httpRequestTool - n8n Form Trigger
n8n-nodes-base.formTrigger - Extract from File
n8n-nodes-base.extractFromFile - Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader - Token Splitter
@n8n/n8n-nodes-langchain.textSplitterTokenSplitter - Webhook
n8n-nodes-base.webhook - If
n8n-nodes-base.if - HTTP Request
n8n-nodes-base.httpRequest - Respond to Webhook
n8n-nodes-base.respondToWebhook
From the author
Quick overview This chat-based dental receptionist answers clinic questions using documents stored in Qdrant, checks Google Calendar availability, and books appointments after patient confirmation. It includes authenticated knowledge uploads, configurable…