A RAG chatbot combines pre-trained models with real-time data to generate contextually relevant answers. It retrieves relevant information from a knowledge base and augments it with generative responses.

You can switch between agents by selecting the specific topic or agent you wish to interact with, such as Tailswatch or F1GPT, and the chatbot will adapt accordingly.

Yes, each agent can be customized with different prompts, logos, and behaviors to suit the context or service it represents.

You can ask anything related to the specific agent, such as pet care for Tailswatch, Formula 1 queries for F1GPT, or development and design services for PRODIGI Studios.

The chatbot provides highly accurate answers by combining pre-trained knowledge with real-time data retrieval, offering up-to-date information on a variety of topics.