Bridging Knowledge Gaps in AI with Retrieval-Augmented Generation
Artificial intelligence continues to revolutionize how we process, understand, and use information. One of its most promising advancements is Retrieval-Augmented Generation (RAG), an approach that combines large language models with external data retrieval capabilities. This technique addresses a critical challenge: how to keep AI models up-to-date and capable of providing accurate, reliable, and relevant information [...]