Build a chatbot, voice and phone agent with Voiceflow, Google Calendar and RAG
Needs changesWhat this workflow does
This AI workflow has 28 nodes and runs manually, when you click “Execute workflow” (plus 3 other triggers). Along the way it connects Google Calendar, OpenAI Chat Model, Qdrant Vector Store and Embeddings OpenAI and 2 more. It also calls qdranturl over HTTP.
How it runs
Trigger: Manually, when you click “Execute workflow” (plus 3 other triggers).
- Create collection (HTTP Request): calls qdranturl (POST)
- Refresh collection (HTTP Request): calls an HTTP API (POST)
- API URL Tracking (HTTP Request): calls an HTTP API
- Concert start date (Basic LLM Chain): sends a prompt to an LLM, with model: OpenAI Chat Model; output parser: Structured Output Parser
- Retrive Agent (AI Agent): runs an AI agent, with model: OpenAI Chat Model; 1 tool (RAG)
- Get folder (Google Drive): work with file folder
- Tracking response (Edit Fields (Set)): sets 1 field: text
- Google Calendar: uses Google Calendar
- Webhook RAG response (Respond to Webhook): sends the response back to the webhook caller
- Download Files (Google Drive): download
…plus 4 more steps. See the full node list below.
Services it uses
HTTP calls to: qdranturl
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in Retrive Agent (v1.7): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) Retrive Agent (v1.7) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (16)
- Webhook
n8n-nodes-base.webhook - Google Calendar
n8n-nodes-base.googleCalendar - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Qdrant Vector Store
@n8n/n8n-nodes-langchain.vectorStoreQdrant - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi - Vector Store Question Answer Tool
@n8n/n8n-nodes-langchain.toolVectorStore - AI Agent
@n8n/n8n-nodes-langchain.agent - Edit Fields (Set)
n8n-nodes-base.set - Respond to Webhook
n8n-nodes-base.respondToWebhook - HTTP Request
n8n-nodes-base.httpRequest - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Manual Trigger
n8n-nodes-base.manualTrigger - Google Drive
n8n-nodes-base.googleDrive - Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader - Token Splitter
@n8n/n8n-nodes-langchain.textSplitterTokenSplitter
From the author
Voiceflow is a no-code platform that allows you to design, prototype, and deploy conversational assistants across multiple channels—such as chat, voice, and phone—with advanced logic and natural language understanding. It supports integration with APIs,…