What is RAG (Retrieval-Augmented Generation)?
RAG (Retrieval-Augmented Generation) is an AI technique that combines large language models with external knowledge retrieval to generate accurate, factual responses grounded in your specific data.
RAG solves the biggest problem with AI chatbots: hallucination. Instead of making up answers, a RAG-powered chatbot retrieves relevant information from your knowledge base before generating a response, ensuring accuracy.
How RAG Works
RAG operates in two phases: retrieval and generation. First, it searches your knowledge base for relevant documents. Then, it feeds that context to the language model to generate an accurate, grounded response.
- •1. User sends a question to the chatbot
- •2. The system converts the question into a vector embedding
- •3. It searches your knowledge base for semantically similar content
- •4. The most relevant chunks are retrieved and ranked
- •5. The LLM generates a response using your actual data as context
- •6. The response is accurate and specific to your business
Why RAG Matters for Business Chatbots
Without RAG, AI chatbots either give generic answers or hallucinate. With RAG, your chatbot gives answers based on your actual product docs, FAQs, policies, and knowledge base — like having your best support agent available 24/7.
RAG vs Fine-Tuning
Fine-tuning trains a custom model on your data, which is expensive and requires retraining when data changes. RAG retrieves from your live knowledge base, meaning updates are instant and there's no retraining cost.
- •RAG: Instant updates, no retraining, lower cost, great for factual Q&A
- •Fine-tuning: Expensive, slow to update, better for style/tone changes
- •Otoq uses RAG: Upload your docs, and your AI agent is instantly updated
Related Terms
What is AI Chatbot?
An AI chatbot is a software application that uses artificial intelligence — typically natural language processing (NLP) and machine learning — to simulate human-like conversations with users.
What is Conversational AI?
Conversational AI refers to technologies that enable computers to understand, process, and respond to human language in a natural, conversational manner.
What is Customer Engagement Platform?
A customer engagement platform is software that helps businesses interact with customers across multiple channels, using automation and AI to deliver personalized experiences at scale.
Otoq uses RAG to train your AI agent on your business data — accurate answers, zero hallucination.
Free plan includes 50 AI conversations/month. No credit card required.