This evaluation tests how well different embedding models represent the corpus so that a RAG system can retrieve the most relevant documents for a given query. By comparing the top results for sample queries, you see which model produces embeddings that best capture meaning and context in the data, directly impacting the quality of answers your RAG system will generate.