Indri is a search engine developed at the Lemur Project at Carnegie Mellon University that is capable of searching large collections of documents.
#What is Indri?
Indri is an open-source search engine developed by the Center for Intelligent Information Retrieval (CIIR) at the University of Massachusetts Amherst. It is designed to provide highly accurate and efficient search capabilities for large-scale document collections, and is widely used in academic and research settings.
#Indri Key Features
Most recognizable Indri features include:
- Supports a wide range of query types, including Boolean, proximity, and phrase queries.
- Advanced ranking algorithms that take into account document relevance, query similarity, and other factors.
- Highly customizable and extensible with additional modules to support specialized search tasks.
Some of the Indri use-cases are:
- Commonly used for academic research and large-scale document retrieval.
- Can be used to build custom search applications for specific domains or use cases.
- Often used in conjunction with other open-source tools, such as the Lemur toolkit.
Indri is an open-source search engine that provides highly accurate and efficient search capabilities for large-scale document collections. It supports a wide range of query types and includes advanced ranking algorithms, making it a popular choice for academic research and information retrieval tasks. Indri is highly customizable and can be extended with additional modules, and is often used in conjunction with other open-source tools to provide a complete information retrieval solution.