The text discusses how to evaluate extractive question answering systems in Haystack, a popular open-source framework for natural language processing tasks. The new `eval()` method allows users to run their QA pipelines in evaluation mode without the need for special evaluation nodes. This simplifies the process of evaluating the performance of the pipeline and provides a more consistent experience across different stages of implementation. The text explains how to set up the document store, preprocessor, and retriever and reader nodes, and then demonstrates how to run the pipeline in evaluation mode using the `eval()` method. It also discusses various methods for filtering and analyzing the results, including saving and loading the results as CSV files, computing aggregate metrics, simulating lower top_k values, displaying wrong predictions, generating an evaluation report, and evaluating the pipeline in integrated or isolated mode. The text concludes by encouraging users to get started with evaluating their extractive QA pipelines using the new `eval()` method and to share their results with the Haystack community.