The Haystack framework focuses on question answering systems, leveraging neural networks to improve search capabilities. Simple search paradigms like exact string matching and keyword matching are still used, but have limitations, such as not preserving word order in documents. Neural search systems, including semantic document search and extractive question answering, use pre-trained models like Transformers to better capture a query's meaning. These systems can be combined with other components, such as retriever-reader pipelines and FAQ-style question answering, to build more powerful systems. The Haystack framework provides a modular approach to building these complex systems, with features like data labeling tools and deployment assistance, making it an end-to-end NLP solution for search and find applications.