Whatever the case may be, chatbots are increasingly used by companies, but instead of pure LLMs they use what is called RAG: retrieval augmented generation. This bypasses the language model and ...

Conversational AI is becoming a critical driver of digital commerce, but many AI-driven chatbots struggle to provide meaningful, contextually relevant responses. With RAG, AI chatbots can retrieve ...

RAG gives AI a lifeline to external, up-to-date sources of knowledge, turning it from a creative improviser into a reliable resource. You can think of it as equipping your chatbot with a librarian ...

Generative AI seems to offer ways to provide individualised feedback to large cohorts but can these models be relied on to ...

But don’t worry—there’s good news. Two clever techniques, Retrieval-Augmented Generation (RAG) and Cache-Augmented Generation (CAG), are stepping in to fill these knowledge gaps in ways that ...

The OpenAI Responses API is a robust and versatile tool designed to streamline the development of Retrieval-Augmented Generation (RAG) systems. By automating intricate processes such as document ...