Sobre o autor
Kathleen is a software engineer at Elastic working on search and search relevance.
Artigos do autor
9 de julho de 2025
Semantic text is all that and a bag of (BBQ) chips! With configurable chunking settings and index options
Semantic text search is now customizable, with support for customizable chunking settings and index options to customize vector quantization, making semantic_text more powerful for expert use cases.
6 de março de 2025
Elasticsesarch semantic search, leveled up: now with native match, knn and sparse_vector support
Semantic text search becomes even more powerful, with native support for match, knn and sparse_vector queries. This allows us to keep the simplicity of the semantic query while offering the flexibility of the Elasticsearch query DSL.
19 de dezembro de 2024
Query rules retriever: ensuring business rules work seamlessly with semantic search
Harness the power of Elasticsearch query rules combined with semantic search and rerankeras.
27 de agosto de 2024
Looking back: Elastic's vector search improvements in Elasticsearch & Lucene
Looking back at Elastic's vector search innovations in Elasticsearch and Lucene.
7 de agosto de 2024
Elasticsearch query rules are now generally available
Introducing the general availability of query rules
23 de julho de 2024
Introducing the sparse vector query: Searching sparse vectors with inference or precomputed query vectors
Learn about the Elasticsearch sparse vector query, how it works, and how to effectively use it.
14 de maio de 2024
Search relevance tuning: Balancing keyword and semantic search
This blog offers practical strategies for tuning search relevance that can be complementary to semantic search.
2 de abril de 2024
Improving text expansion performance using token pruning
Learn about token pruning and how it boosts the performance of text expansion queries by making them more efficient without sacrificing recall.