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Kathleen DeRusso

Kathleen DeRusso is a Principal Software Engineer at IEEE GlobalSpec, and works on a team focused on search technology powering websites like www.globalspec.com and www.datasheets360.com. She has an MBA from The College of St Rose and a BA in Computer Science from SUNY Albany. When she's not working on search, her interests are reading and kayaking.

Kathleen DeRusso의 글

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.

Kathleen DeRusso

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.

Kathleen DeRusso

All about those chunks, ’bout those chunks, and snippets!

Exploring chunking and snippet extraction for LLMs, highlighting enhancements for identifying the most relevant chunks and snippets to send to models such as rerankers and LLMs.

Kathleen DeRusso

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.

Kathleen DeRusso

Elasticsearch query rules are now generally available

Introducing the general availability of query rules

Kathleen DeRusso

Looking back: Elastic's vector search improvements in Elasticsearch & Lucene

Looking back at Elastic's vector search innovations in Elasticsearch and Lucene.

Kathleen DeRusso

Search relevance tuning: Balancing keyword and semantic search

This blog offers practical strategies for tuning search relevance that can be complementary to semantic search.

Kathleen DeRusso

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.

Kathleen DeRusso

Query rules retriever: ensuring business rules work seamlessly with semantic search

Harness the power of Elasticsearch query rules combined with semantic search and rerankeras.

Kathleen DeRusso

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충분히 고급화된 검색은 한 사람의 노력만으로는 달성할 수 없습니다. Elasticsearch는 여러분과 마찬가지로 검색에 대한 열정을 가진 데이터 과학자, ML 운영팀, 엔지니어 등 많은 사람들이 지원합니다. 서로 연결하고 협력하여 원하는 결과를 얻을 수 있는 마법 같은 검색 환경을 구축해 보세요.

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