Bring your own transformer models into Elastic to use optimized embedding models and NLP, or integrate with third-party transformer modes such as OpenAI GPT-4 via APIs to leverage more accurate, business-specific content based on private data stores.
In 8.0, you can now upload PyTorch machine learning models into Elasticsearch to provide modern natural language processing (NLP). Integrate one of the most popular formats for building NLP models and incorporate them as part of a NLP data pipeline.
Learn how to use a labeled relevance dataset to improve your search relevance. With hands-on examples, sample scripts and Jupyter notebooks, we provide everything you need to get started and optimize your queries!
A great search experience keeps your users and customers coming back. Learn how you can analyze search interaction metrics with Elasticsearch and Kibana to tune search relevance and boost searcher success.