Streamline Customer Interactions with Voiceflow AI Agents & RAG
Automate complex customer interactions and appointment booking, reducing response times by 70% and freeing up support staff for critical tasks.
Managing diverse customer inquiries, scheduling, and information retrieval across multiple channels is complex and resource-intensive. This n8n workflow leverages AI agents, RAG, and calendar automation to unify and streamline customer support and appointment booking across chat, voice, and phone.
Documentation
Build Intelligent Agents for Enhanced Customer Engagement
This powerful n8n workflow orchestrates AI-driven chatbots, voice agents, and phone agents using Voiceflow, integrating seamlessly with Google Calendar for appointments, an external API for order tracking, and a Retrieval Augmented Generation (RAG) system for intelligent knowledge retrieval. It empowers businesses to deliver superior, automated customer service across multiple channels.
Key Features
- Multi-channel AI Agent Deployment: Deploy intelligent assistants for chat, voice, and phone using Voiceflow, all powered by n8n.
- Automated Appointment Scheduling: Automatically create Google Calendar events based on user requests, simplifying booking processes.
- Real-time Order Status Tracking: Integrate with external APIs to provide instant updates on customer orders.
- Intelligent Knowledge Base (RAG): Leverage Qdrant and OpenAI to retrieve accurate, context-rich answers from your documentation.
- Dynamic Date Formatting with AI: AI models intelligently parse and format dates for smooth calendar integration.
How It Works
The workflow operates in two main phases: initial RAG knowledge base ingestion and live agent interaction.
- Knowledge Base Ingestion: Upon a manual trigger, the workflow creates/refreshes a Qdrant collection, fetches documents from a specified Google Drive folder, converts them to plain text, and then splits, embeds (using OpenAI), and stores these documents in Qdrant as a vector database.
- Live Agent Interaction: Voiceflow acts as the frontend, triggering specific n8n webhooks based on user intent.
- For appointment requests, a webhook triggers AI-driven date parsing, followed by event creation in Google Calendar.
- For order inquiries, a webhook calls an external API for status updates.
- For general questions, a webhook initiates a RAG process: the user's query is embedded, relevant documents are retrieved from Qdrant, and an OpenAI Chat Model (acting as a conversational agent) formulates a detailed response based on the retrieved information and a predefined system message. All responses are then sent back to Voiceflow.