SearchRAG integrates real-time search engine results into LLM frameworks, significantly improving medical question answering by accessing up-to-date specialized knowledge.

• Overcomes limitations of traditional RAG systems that rely on potentially outdated static knowledge bases
• Provides LLMs with fine-grained clinical details essential for accurate medical responses
• Demonstrates superior performance when specialized medical knowledge is required
• Creates a more reliable AI solution for healthcare applications by dynamically retrieving current medical information

This innovation addresses a critical challenge in medical AI: ensuring access to specialized, current information that general-purpose LLMs typically lack, potentially transforming clinical decision support and medical education tools.

SearchRAG: Can Search Engines Be Helpful for LLM-based Medical Question Answering?