Instant Content with AI

RAG (Retrieval Augmented Generation) is a deep learning technique that enhances Large Language Model (LLMs) by integrating them with external knowledge bases, allowing them to access and incorporate up-to-date and relevant information for more accurate and contextually relevant responses.

In the same way, X-RAG integrating external contextual information through Web3 apps on B-Layer 2 solutions, in making language models more versatile and intelligent with use cases ranging from sophisticated conversational agents and chatbots to complex healthcare system that answers medical queries by retrieving information from medical literature and generating precise responses.