A college updates its admission fees, changes the last date for applications and uploads a new notice to its website. But students still need to search through multiple pages to find the correct information. A RAG-based AI assistant can retrieve details from these updated documents and answer their questions in one place.<\/p>\n\n\n\n
What Is RAG in AI?<\/strong> Retrieval-Augmented Generation (RAG) is a technique that connects large language models (LLMs) to external knowledge sources, retrieves relevant information and uses it to generate context-based answers.<\/p>\n\n\n\n Instead of relying only on previously learned data, RAG retrieves relevant content from documents to help LLMs provide more accurate and up-to-date responses. To understand the broader technology behind RAG, read about Generative AI and why students should learn it<\/a>.<\/p>\n\n\n\n