Last chance to register: Introduction to NLP models and vector search: Part II

Elastic 8.3 comes with new and exciting features which is why we are inviting you to join this Introduction to NLP models and vector search: Part II to discover the exciting new capabilities offered in Elastic 8.1 - 8.3 for advanced text analytics like named entity recognition (NER), semantic text embedding, emotion, and sentiment analysis, or text classification with significantly less effort and time without requiring additional components or coding.

Learn how to:

• Use dense vector fields in Elasticsearch for vector similarity
• Use a radius query to define the subset of results that is deemed relevant to the query
• Handle incremental changes to the index
• Build applications using semantic search with NLP models
• Work with HuggingFace PyTorch models
• Use vectors and NLP to create modern semantic search applications

Regards,
The Elastic Team