Several tools and frameworks are widely used in information retrieval (IR) to build search engines, analyze data, and improve search results. Some of the most popular include:
- Elasticsearch: An open-source search engine known for scalability and full-text search capabilities. It is commonly used in real-time search applications and log analytics.
- Apache Solr: A robust, enterprise-grade search platform based on Apache Lucene, offering advanced search features like faceting and filtering.
- Lucene: A powerful, low-level IR library that provides indexing and searching functionality, often used as a foundation for building custom search applications.
- Apache Nutch: An open-source web crawler and search engine built on top of Lucene, suitable for web indexing.
- Whoosh: A fast, feature-rich search engine library for Python, great for small to medium-sized IR tasks.
- Vespa: A search engine that specializes in handling large-scale and real-time data for personalized search and recommendation systems.
These tools provide the necessary infrastructure for building effective IR systems, from search engines to recommendation engines and analytics platforms.