AI Calling Bot
RAG-Based Voice AI for Appointments & Bookings
A RAG-based AI Calling Bot purpose-built for clinic appointments and property bookings, using a vector database to retrieve contextual knowledge in real time, enabling natural, accurate conversations.
Goals
- ✓Enable context-aware AI conversations using RAG
- ✓Automate appointment and booking workflows
- ✓Integrate with clinic systems and calendars
- ✓Continuously improve through interaction analysis
- ✓Provide natural, human-like voice conversations
Solution
Sitara developed a RAG-based AI Calling Bot, purpose-built for clinic appointments and property bookings. The platform uses a vector database to retrieve contextual knowledge in real time, enabling natural, accurate conversations while continuously improving through interaction analysis and training data.
Overview
A RAG-based AI Calling Bot purpose-built for clinic appointments and property bookings, using a vector database to retrieve contextual knowledge in real time, enabling natural, accurate conversations.
Problem
Traditional AI calling systems rely on static scripts and limited context, resulting in generic responses and poor user experience. In appointment scheduling and property booking, accurate responses require access to live availability, policies, pricing rules, and historical interactions.
Impact
Key Features
RAG-Powered Intelligence
- •Retrieval-Augmented Generation using a vector database for context-aware responses
Vector Knowledge Store
- •Embeds clinic policies, doctor schedules, property listings, pricing, FAQs, and call history
Appointment & Booking Automation
- •Book, reschedule, cancel, and confirm clinic appointments and property viewings
Continuous Learning & Training
- •Analyze call transcripts and outcomes to improve intent detection and response quality
Smart Intent & Slot Extraction
- •Extract dates, times, locations, services, budgets, and preferences accurately
Human-Like Voice Conversations
- •Dynamic, natural conversations instead of rigid call scripts
System & Calendar Integrations
- •Sync with clinic systems, calendars, and CRMs via RESTful APIs
Analytics & AI Insights
- •Booking success rates, conversation drop-offs, knowledge gaps, and training metrics
Technology Stack & Integrations
Core Technologies
Integrations
Architecture
RAG-based architecture with vector database for knowledge retrieval, voice AI integration for natural conversations, and RESTful API layer for system integrations. The platform continuously learns from call interactions to improve response quality.
Screenshots
