Zshot provides a framework for performing named entity recognition and relationship extraction using zero-shot and few-shot learning techniques. It leverages transformer-based language models to identify entities and extract relationships without requiring large annotated datasets. The library integrates with spaCy for pipeline processing and visualization, supporting tasks like mentions extraction, wikification, and cross-domain NER generalization.