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What is RAG technology (Retrieval-Augmented Generation)?
RAG technology combines two main processes:
- Retrieval: Searches for relevant information in a database or documents provided by the company.
- Generation: Uses a language model (LLM) to generate responses in natural language based on the retrieved information. This ensures that responses are accurate, aligned with your company's specific data, and expressed clearly. Our RAG chatbots are offered as a SaaS service, ensuring ease of use and continuous maintenance.
You might also be interested in:
- Why is it important for chatbots to use RAG technology?
- What benefits does a chatbot using RAG have compared to other AI models?
- How do you ensure that the chatbot's responses are reliable and don't hallucinate?
- What is an LLM and what is its role in a chatbot with RAG technology?
- What does the SaaS model include for Kainotera's AI chatbots or AI agents?