This Workflow simulates an AI-powered phone agent with RetellAI with two main functions: 1. 📅 Appointment Booking – It can schedule appointments directly into Google Calendar. 2. 🧠 RAG-based Information Retrieval – It provides answers using a Retrieval-Augmented Generation (RAG) system. For example, it can respond to questions such as store opening hours, return policies, or product details. The guide also explains how to purchase a dedicated phone number (with a +1 prefix) and link it to the AI agent. This setup is cost-effective, as it uses a FREE $10 credit to operate without additional charges in the beginning. --- ✨ Advantages - 🕐 24/7 Availability – The AI agent can answer calls and assist customers at any time. - 🤖 Automation – It reduces the workload on human staff by handling repetitive tasks like appointment scheduling and FAQ responses. - 🔌 Easy Integration – Built with n8n, it’s flexible and customizable for various platforms and tools. - 💸 Low-cost Setup – Using the free credit, businesses can get started without an upfront investment. --- 📦 Use Cases - 🛍 E-commerce – Answer common product questions or order inquiries. - 🏬 Retail Stores – Provide store hours, address info, and return policies. - 🍽 Restaurants – Take reservations or share menu information. - 💼 Service Providers – Book appointments or consultations. - 📞 Any Local Business – Offer phone support without needing a live operator. --- How It Works This Workflow simulates an AI-powered phone agent with two primary functions: 1. Appointment Booking - The workflow captures call events (e.g., callended or callanalyzed) and extracts key details (transcript, caller info, duration, etc.). - Using OpenAI, it summarizes the conversation and parses structured data (e.g., names, contact info, dates). - For scheduling, it converts user-provided dates into Google Calendar-compatible formats and creates events automatically. 2. RAG-Based Information Retrieval - When a query is received (e.g., store hours, product details), the workflow retrieves relevant information from a Qdrant vector store. - An AI agent processes the query using the retrieved data and responds via a webhook, ensuring accurate, context-aware answers. --- Set Up Steps 1. Prepare Qdrant Vector Store - Create/refresh a Qdrant collection (via HTTP requests). - Upload and vectorize documents (e.g., from Google Drive) using OpenAI embeddings. 2. Configure RetellAI Agent - Sign up for RetellAI, create an agent, and set the webhook URLs (n8ncall for call events, n8nragfunction for RAG queries). - Purchase a Twilio phone number and link it to the agent. 3. n8n Workflow Setup - Connect OpenAI, Qdrant, Google Calendar, and Telegram nodes with credentials. - Customize prompts for summarization, date parsing, and RAG responses. - Test the workflow to ensure data flows from call events → processing → actions (e.g., calendar bookings, Telegram alerts). 4. Deploy - Trigger the workflow via RetellAI webhooks during calls. - Monitor outputs (e.g., call summaries in Telegram, calendar events). Note: Replace placeholders (e.g., QDRANTURL, COLLECTION, CHATID) with actual values. --- 👉 Subscribe to my new YouTube channel. Here I’ll share videos and Shorts with practical tutorials and FREE templates for n8n. []( --- Need help customizing? Contact me for consulting and support or add me on Linkedin.
