Part 1

2026년 4월 9일
Learn why ecommerce search falls short without governance and how a control layer ensures predictable and intent-driven results, thus improving retrieval.
Part 2

2026년 4월 28일
Search behavior changes shouldn't require an engineering ticket. Learn how a governed control plane lets business teams update search policies in hours, without deployments, without risk.
Part 3

2026년 5월 1일
How to build a governed control plane for ecommerce that composes conflicting search policies into a single execution plan (without code changes).
Part 4

2026년 5월 4일
Learn how to use the Elasticsearch percolator to implement search governance. In this blog, we outline the patterns needed to create a governed policy engine in production and create a controlled retrieval strategy.
Part 5

2026년 5월 6일
Learn how to build a multi-tier retrieval strategy used to execute ecommerce governed search plans and improve recall management. We'll cover how to orchestrate semantic matching while maintaining stable results, facets, and pagination.
Part 6

2026년 5월 11일
Learn how to create a personalized ecommerce search experience in Elasticsearch without breaking governance. This post explains how to boost products a shopper has purchased before and how to activate cohort-specific policies based on user profiles.
Part 7

2026년 5월 13일
Learn how to optimize ecommerce search using margin and popularity boosting. This blog explains how a governed control plane treats economic optimization in Elasticsearch.
Part 8

2026년 5월 18일
Agentic AI search systems often fail when LLMs generate queries directly. Learn how deterministic guardrails and a control plane architecture enable safe, reliable, and governed query execution with Elasticsearch.
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.