Meet Ragas: A Python-based Machine Learning Framework that Helps to Evaluate Your Retrieval Augmented Generation (RAG) Pipelines

In language models, there’s a sophisticated technique known as Retrieval Augmented Generation (RAG). This approach enhances the language model’s understanding by fetching relevant information from external data sources. However, a significant challenge arises when developers try to assess how well their RAG systems perform. With a straightforward way to measure effectiveness, knowing if the external […]

The post Meet Ragas: A Python-based Machine Learning Framework that Helps to Evaluate Your Retrieval Augmented Generation (RAG) Pipelines appeared first on MarkTechPost.

applications artificial intelligence challenge data data sources developers editors pick external data framework however information language language model language models machine machine learning pipelines python rag retrieval retrieval augmented generation staff systems tech news understanding