OpenSearch Community Member: Charlie Yang · OpenSearch

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OpenSearch is a powerful search and analytics engine built on Apache Lucene.

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Our data visualization toolset is a flexible, fully integrated solution for visually exploring and querying your data.

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A server-side data collector designed to enrich, transform, and aggregate data for downstream analytics with OpenSearch.

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Machine Learning and AI

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E-Commerce

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View key performance metrics across different workloads

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Most Recent Articles
OpenSearch simplified: The power of Application-Based Configuration (ABC) tem...	Dec 23
Deep dive: Enabling pluggable storage in the OpenSearch vector engine	Dec 18
OpenSearchCon 2024: North America – The blog post	Dec 09
Give back and go forward: Driving community contributions from vendor led to ...	Nov 29
OpenSearch Project update: A look at performance progress through version 2.17	Nov 27
Introducing byte vector support for Faiss in the OpenSearch vector engine	Nov 26
Optimize your OpenSearch costs using binary vectors	Nov 25
Boosting k-NN exact search performance	Nov 19
Introducing OpenSearch nightly playgrounds: Preview new OpenSearch features live	Nov 07
Get started with OpenSearch 2.18	Nov 06

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OpenSearchCon

Europe: Apr 2025

OpenSearchCons in 2024

North America (San Francisco): September 24-26

India (Bengaluru): June 26

Europe (Berlin): May 6-7

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Build your OpenSearch solution using core tooling and visualizations.

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Measure performance metrics for your OpenSearch cluster.

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Filter, mutate, and sample your data for ingestion into OpenSearch.

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Interact with OpenSearch from your application using language APIs.

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Read our blog on 2024-2025 project development plan and beyond!

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Charlie Yang is an AWS engineering manager with the OpenSearch Project. He focuses on machine learning, search relevance, and performance optimization.

Charlie Yang's Roles

Author

Conference Speaker

Blog Posts & Articles by Charlie Yang

Most Recent Blog Posts

technical post

Improving search efficiency and accuracy with the newest v2 neural sparse models

technical post

Introducing the neural sparse two-phase algorithm

Other Blog Posts

11 Jun 2024	A deep dive into faster semantic sparse retrieval in OpenSearch 2.12
16 Jan 2024	OpenSearch AI and machine learning: Recapping 2023 and what’s next
05 Dec 2023	Improving document retrieval with sparse semantic encoders
10 Apr 2023	You can now see ML model status in OpenSearch Dashboards

OpenSearchCon

2024 north america

Toward Semantic Search, what we have now and what it will be in the future.

Wednesday, September 25