The role of sufficient context
Retrieval augmented generation (RAG) enhances large language models (LLMs) by providing them with relevant external context. For example, when using a RAG system for a question-answer (QA) task, the LLM receives a context that may be a combination of information from multiple sources, such as public webpages, private document corpora, or knowledge graphs. Ideally, the […]