REALM Inveo Inc.

This module provides the foundational abstract base classes required to implement dictionary-based lookups and Named Entity Recognition. It enables developers to build standardized, modular extraction logic for identifying specific entities within unstructured text while maintaining consistent interface patterns across enterprise data environments.

Data engineers and machine learning practitioners working in regulated industries benefit most from this module. It is designed for technical teams needing to enforce strict, repeatable extraction architectures when building custom entity recognition systems that require high levels of governance and code consistency.

Implementation requires a foundational understanding of object-oriented programming and class inheritance. Users must have an existing environment capable of executing class-based logic and should be prepared to define specific dictionary sources or NER models to populate the abstract methods provided by the base classes.