<ul><li>Retrieval Augmented Generation (RAG) pipelines have gained attention in the field of AI and NLP.</li><li>Evaluating RAG pipelines is crucial before incorporating sophisticated models.</li><li>The dimensions for assessing RAG pipelines are divided into retrieval and generation categories.</li><li>Various frameworks like Ragas, TruLens, ARES, DeepEval, Tonic Validate, and LangFuse assist in evaluating RAG pipelines.</li></ul>

What Are The Dimensions For Creating Retrieval Augmented Generation (RAG) Pipelines?

Discover more