Solr 9.1.1

• Full-text search capabilities for businesses of all sizes
• Advanced search features like faceted search, dynamic clustering, and hit highlighting
• High scalability and fault tolerance for large-scale search applications
• Support for multiple data sources and file formats
• Easy integration with a wide range of applications and programming languages
• High performance and low latency for fast search results

Solr 9.1.1 is used by many businesses to power search and discovery applications. Here are two common use cases:

• E-commerce: Many e-commerce websites use Solr to provide fast and accurate search results for their customers. With Solr, businesses can implement features like faceted search, which allows users to filter their search results by attributes like price, color, and brand, and hit highlighting, which highlights the search terms in the results to make it easier for users to find what they're looking for.
• Enterprise search: Large enterprises often use Solr to index and search their internal data, making it easy for employees to find the information they need. Solr can handle large amounts of data and provide fast search results, making it an ideal choice for organizations with large amounts of data to manage.

To use Solr 9.1.1, users can follow these basic steps:

1. Download and install Solr
2. Create a new Solr core for the application
3. Index the data that needs to be searched
4. Define the search schema and configure the search settings
5. Query the Solr index to retrieve search results

• Built on top of the Apache Lucene search library
• Written in Java and runs on the Java Virtual Machine (JVM)
• Supports multiple data sources, including XML, CSV, and JSON
• Integrates with a wide range of programming languages, including Java, Python, and Ruby
• Provides RESTful API endpoints for managing the Solr server and querying the search index
• Highly scalable and fault-tolerant, with support for distributed search and replication.