Overview:

Kolibri is an innovative tool designed for ranking evaluation and batch processing, particularly tailored for search system assessment. Built using Scala, it facilitates concurrent executions across multiple nodes, promoting efficiency and scalability. This framework is ideal for developers and researchers aiming to enhance their information retrieval (IR) metrics and streamline their evaluation processes.

Features:

Concurrent Multi-Node Execution: Supports synced operations across multiple nodes via storage, enabling efficient handling of large data sets.
IR-Metrics Support: Out-of-the-box functionality for common metrics like NDCG, ERR, Precision, and Recall simplifies the evaluation process for search systems.
Batch Processing Capabilities: Efficiently processes large volumes of data in batches, ensuring timely output and analysis.
Scalable Framework: Designed to grow with user needs, making it suitable for projects of varying sizes and complexities.
Customizable Evaluations: Offers flexibility in setting up evaluations that cater to specific search system requirements.
Ease of Integration: Fits seamlessly into existing ecosystems, allowing for straightforward implementation into various workflows.

Awagen

Kolibri