The Problem with Generic AI
Most AI chatbots and voice agents answer from general knowledge. Ask about your specific business—your hours, your policies, your services—and you get generic responses that might be wrong.
Answrr solves this with RAG (Retrieval-Augmented Generation) technology .
What Is RAG?
RAG allows AI to retrieve information from your specific documents and use that information to generate accurate, contextually appropriate answers .
You simply upload:
- Your FAQ documents
- Service brochures and menus
- Policy manuals
- Price lists
- Any other business documentation
The AI then answers questions using YOUR information .
How It Works
- Upload: Add your documents to Answrr’s knowledge base
- Retrieve: When a customer asks a question, the AI searches your documents
- Generate: The AI formulates an answer based on your specific information
- Respond: The caller receives accurate, on-brand information
Real-World Examples
Restaurant: “Do you accommodate gluten-free diets?” The AI checks your uploaded menu and dietary guidelines, providing accurate information about specific dishes.
HVAC Company: “How much does a new furnace installation cost?” The AI retrieves your current price list and provides accurate estimates.
Salon: “What’s your cancellation policy?” The AI references your uploaded policy document and explains the terms clearly.
Benefits of RAG
- Accuracy guaranteed – Answers come from your documents, not generic knowledge
- Easy updates – Change a document, and the AI instantly learns the new information
- Complete control – You determine exactly what information the AI has access to
- No manual training – No complex setup or prompt engineering required
Answrr’s AI-powered onboarding assistant interviews you about your business and builds your perfect agent in under 10 minutes . The RAG knowledge base extends this capability, ensuring your AI answers every question accurately.
Read my full Answrr review to see RAG in action.
