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KeyBERT is an open-source Python library that provides a minimal, easy-to-use keyword extraction technique by leveraging BERT embeddings to generate keywords and keyphrases most similar to a document. It offers methods such as Max Sum Distance and Maximal Marginal Relevance and supports various embedding models and large language models. The project is MIT-licensed and hosted on GitHub (MaartenGr/KeyBERT).
AI named KeyBERT in December 2025.