Papel 1
9 de abril de 2026
Why ecommerce search needs governance
Learn why ecommerce search falls short without governance and how a control layer ensures predictable and intent-driven results, thus improving retrieval.
Papel 2
28 de abril de 2026
Accelerating merchandising improvements with a governed control plane
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.
Papel 3
1 de maio de 2026
Building a control plane to govern ecommerce search
How to build a governed control plane for ecommerce that composes conflicting search policies into a single execution plan (without code changes).
Papel 4
4 de maio de 2026
Elasticsearch percolator for ecommerce search governance: translating ambiguous queries into controlled retrieval strategies
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.
Papel 5
6 de maio de 2026
Multi-tier search with Elastic for ecommerce search governance: Fixing poor recall
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.
Papel 6
11 de maio de 2026
Personalizing ecommerce search: Integrating purchase history and user cohorts
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.
Papel 7
13 de maio de 2026
Ecommerce search optimization using margin and popularity boosting in Elasticsearch
Learn how to optimize ecommerce search using margin and popularity boosting. This blog explains how a governed control plane treats economic optimization in Elasticsearch.
Papel 8
18 de maio de 2026
Agentic AI search with deterministic guardrails in Elasticsearch for safe query execution
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.
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