Since 8.0 and the release of third-party natural language processing (NLP) models for text embeddings, users of the Elastic Stack have access to a wide variety of models to embed their text documents and perform query-based information retrieval using vector search.Given all these components and their parameters, and depending on the text corpus you want to search in, it can be … [Read more...] about Improving information retrieval in the Elastic Stack: Steps to improve search relevance