Matthew Adams

Matthew Adams

Senior Principal Product Solution Architect

Artikel von Matthew Adams

Three SLOs every search team needs: monitoring search latency, availability and quality with OpenTelemetry

Your OpenTelemetry search spans already carry the signals for SLOs, burn rate alerts, anomaly detection and incident response, and this post shows how to build all four in Elastic Observability.

Matthew Adams

Search relevance from click streams: Using Learn To Rank and behavioral signals with OpenTelemetry

Learn how to turn click streams and behavioral signals from OpenTelemetry search analytics into judgment lists, rank features and Learn To Rank models that make search relevance improve over time.

Matthew Adams

From search to checkout in 20 lines of code: building a 4-stage conversion funnel with OpenTelemetry

Add cart and purchase tracking to your search analytics pipeline and use ES|QL to answer the question every product manager asks: which search queries drive the most revenue?

Matthew Adams

15 lines of click tracking code that tell you what search logs can't

Three ES|QL queries calculate click-through rate, mean reciprocal rank and click position distribution from your search click data, so you can pinpoint which queries need relevance tuning and where ranking improvements will have the most impact.

Matthew Adams

How to instrument your search API with OpenTelemetry and query it with ES|QL

Add custom attributes to OpenTelemetry spans and run six ES|QL queries that reveal your top searches, zero-result rate and slowest queries.

Matthew Adams

AI shopping agents: Why context comes before the query

AI shopping agents that guess at your vocabulary make expensive mistakes. Pre-computed catalog context stops the guessing before the first tool call.

Matthew Adams

How to build search analytics on Elastic using OpenTelemetry, no extra pipeline required

How to instrument your search application to use modern Open Telemetry standard to drive insights in to your search and users.

Matthew Adams

Unsupervised document clustering with Elasticsearch + Jina embeddings

A practical, reproducible approach to unsupervised document clustering with Elasticsearch and Jina embeddings.

Matthew Adams

How Generative AI will transform web accessibility: Building an AI screen reader

Explore Generative AI's impact on web accessibility and learn how to build a smarter, more intuitive screen reader with AI.

Matthew Adams

Sind Sie bereit, hochmoderne Sucherlebnisse zu schaffen?

Eine ausreichend fortgeschrittene Suche kann nicht durch die Bemühungen einer einzelnen Person erreicht werden. Elasticsearch wird von Datenwissenschaftlern, ML-Ops-Experten, Ingenieuren und vielen anderen unterstützt, die genauso leidenschaftlich an der Suche interessiert sind wie Sie. Lasst uns in Kontakt treten und zusammenarbeiten, um das magische Sucherlebnis zu schaffen, das Ihnen die gewünschten Ergebnisse liefert.

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