关于作者
Kathleen is a software engineer at Elastic working on search and search relevance.
作者文章
2025年7月9日
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.
2025年3月6日
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.
2024年12月19日
Query rules retriever: ensuring business rules work seamlessly with semantic search
Harness the power of Elasticsearch query rules combined with semantic search and rerankeras.
2024年8月27日
Looking back: Elastic's vector search improvements in Elasticsearch & Lucene
Looking back at Elastic's vector search innovations in Elasticsearch and Lucene.
2024年8月7日
Elasticsearch query rules are now generally available
Introducing the general availability of query rules
2024年7月23日
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.
2024年5月14日
Search relevance tuning: Balancing keyword and semantic search
This blog offers practical strategies for tuning search relevance that can be complementary to semantic search.
2024年4月2日
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.