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Advanced Topics

This section covers more in-depth aspects of Phentrieve for users who want to understand the system at a deeper level or customize it for specific use cases.

Algorithms and Packages

Phentrieve leverages state-of-the-art algorithms from machine learning, NLP, and information retrieval. The Algorithms and Packages reference provides comprehensive documentation of all algorithms, key packages, methods, and functions used throughout the implementation, including embedding models, chunking algorithms, and retrieval techniques.

Text Processing Pipeline

Phentrieve's text processing pipeline is highly configurable and can be adapted to different clinical text formats and languages. The Text Processing Pipeline page explains the internal architecture and customization options.

Benchmarking Framework

To evaluate and compare different embedding models and configurations, Phentrieve includes a comprehensive benchmarking framework. The Benchmarking Framework page explains how to run benchmarks and interpret the results.

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