The release of the Elastic Stack 8.0 introduced the ability to upload PyTorch models into Elasticsearch to provide modern NLP in the Elastic Stack, including features such as named entity recognition and sentiment analysis. The Elastic Stack currently supports transformer models that conform to the standard BERT model interface and use the WordPiece tokenization algorithm. Here is the architecture currently compatible with Elastic: BERT BART DPR bi-encoders DistilBERT ELECTRA MobileBERT RoBERTa RetriBERT MPNet SentenceTransformers bi-encoders with the above transformer architectures Elastic lets you leverage NLP to extract information, classify text, and provide better search relevance for your business. Get started with NLP with Elastic.