Retrieval-augmented Generation (Rag)
Retrieval-Augmented Generation (RAG) is an AI framework that enhances large language models (LLMs) by connecting them to external data sources. This allows LLMs to access and utilize up-to-date, relevant information beyond their initial training data, leading to more accurate and contextually relevant outputs.
Tumisang Bogwasi
Tumisang Bogwasi
What is Retrieval-augmented Generation (Rag)?
Retrieval-Augmented Generation (RAG) is a sophisticated artificial intelligence architecture that enhances the capabilities of large language models (LLMs) by integrating external knowledge bases. It addresses the limitations of LLMs, such as
