Retrieval-Augmented Generation (RAG) is an advanced AI technique combining language generation with real-time information ...

Context is essential in any human interaction. But in the current digital era, grasping and leveraging contextual nuances is paramount for enhancing the quality of our interactions. As we hone ...

This model integrates the retrieved information, generating a response that is coherent and informative, addressing the specific context of the user’s input. This retrieval step allows RAG to ...

Retrieval-Augmented Generation (RAG) systems augment LLMs with external context to improve question-answering accuracy, but hallucinations still occur. It wasn’t clearly understood whether these ...