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Merge branch 'opensearch-project:pre-commit' into pre-commit
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_artifacts/data-prepper/data-prepper-2.1.1-docker-x64.markdown

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slug: data-prepper-2.1.1-docker-x64
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category: opensearch
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inline_instructions:
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- label: "Docker Hub"
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code: docker pull opensearchproject/data-prepper:2.1.1
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link:
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label: View on Docker Hub
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url: https://hub.docker.com/r/opensearchproject/data-prepper/tags?page=1&ordering=last_updated&name=2.1.1
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- label: "Amazon ECR"
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code: docker pull public.ecr.aws/opensearchproject/data-prepper:2.1.1
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link:
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label: View on Amazon ECR
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url: https://gallery.ecr.aws/opensearchproject/data-prepper
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- label: "Docker Hub"
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code: docker pull opensearchproject/data-prepper:2.1.1
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link:
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label: View on Docker Hub
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url: https://hub.docker.com/r/opensearchproject/data-prepper/tags?page=1&ordering=last_updated&name=2.1.1
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- label: "Amazon ECR"
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code: docker pull public.ecr.aws/opensearchproject/data-prepper:2.1.1
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link:
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label: View on Amazon ECR
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url: https://gallery.ecr.aws/opensearchproject/data-prepper
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---

_artifacts/data-prepper/data-prepper-2.2.1-docker-x64.markdown

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slug: data-prepper-2.2.1-docker-x64
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category: opensearch
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inline_instructions:
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- label: "Docker Hub"
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code: docker pull opensearchproject/data-prepper:2.2.1
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link:
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label: View on Docker Hub
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url: https://hub.docker.com/r/opensearchproject/data-prepper/tags?page=1&ordering=last_updated&name=2.2.1
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- label: "Amazon ECR"
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code: docker pull public.ecr.aws/opensearchproject/data-prepper:2.2.1
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link:
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label: View on Amazon ECR
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url: https://gallery.ecr.aws/opensearchproject/data-prepper
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- label: "Docker Hub"
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code: docker pull opensearchproject/data-prepper:2.2.1
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link:
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label: View on Docker Hub
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url: https://hub.docker.com/r/opensearchproject/data-prepper/tags?page=1&ordering=last_updated&name=2.2.1
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- label: "Amazon ECR"
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code: docker pull public.ecr.aws/opensearchproject/data-prepper:2.2.1
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link:
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label: View on Amazon ECR
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url: https://gallery.ecr.aws/opensearchproject/data-prepper
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---

_artifacts/data-prepper/data-prepper-2.3.0-docker-x64.markdown

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slug: data-prepper-2.3.0-docker-x64
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category: opensearch
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inline_instructions:
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- label: "Docker Hub"
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code: docker pull opensearchproject/data-prepper:2.3.0
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link:
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label: View on Docker Hub
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url: https://hub.docker.com/r/opensearchproject/data-prepper/tags?page=1&ordering=last_updated&name=2.3.0
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- label: "Amazon ECR"
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code: docker pull public.ecr.aws/opensearchproject/data-prepper:2.3.0
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link:
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label: View on Amazon ECR
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url: https://gallery.ecr.aws/opensearchproject/data-prepper
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- label: "Docker Hub"
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code: docker pull opensearchproject/data-prepper:2.3.0
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link:
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label: View on Docker Hub
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url: https://hub.docker.com/r/opensearchproject/data-prepper/tags?page=1&ordering=last_updated&name=2.3.0
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- label: "Amazon ECR"
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code: docker pull public.ecr.aws/opensearchproject/data-prepper:2.3.0
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link:
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label: View on Amazon ECR
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url: https://gallery.ecr.aws/opensearchproject/data-prepper
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---

_artifacts/data-prepper/data-prepper-2.3.1-docker-x64.markdown

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slug: data-prepper-2.3.1-docker-x64
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category: opensearch
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inline_instructions:
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- label: "Docker Hub"
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code: docker pull opensearchproject/data-prepper:2.3.1
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link:
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label: View on Docker Hub
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url: https://hub.docker.com/r/opensearchproject/data-prepper/tags?page=1&ordering=last_updated&name=2.3.1
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- label: "Amazon ECR"
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code: docker pull public.ecr.aws/opensearchproject/data-prepper:2.3.1
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link:
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label: View on Amazon ECR
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url: https://gallery.ecr.aws/opensearchproject/data-prepper
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- label: "Docker Hub"
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code: docker pull opensearchproject/data-prepper:2.3.1
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link:
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label: View on Docker Hub
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url: https://hub.docker.com/r/opensearchproject/data-prepper/tags?page=1&ordering=last_updated&name=2.3.1
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- label: "Amazon ECR"
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code: docker pull public.ecr.aws/opensearchproject/data-prepper:2.3.1
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link:
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label: View on Amazon ECR
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url: https://gallery.ecr.aws/opensearchproject/data-prepper
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---

_authors/amsiglan.markdown

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---
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name: Amardeepsingh Siglani
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short_name: amsiglan
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photo: '/assets/media/authors/amsiglan.jpeg'
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github: amsiglan
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---
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**Amardeepsingh Siglani** is a Frontend Engineer at AWS focusing on OpenSearch. He focuses on user experience development for the Security Analytics and Alerting plugins.

_authors/deysubho.markdown

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---
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short_name: deysubho
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name: Subhobrata Dey
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photo: '/assets/media/authors/deysubho.jpg'
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github: sbcd90
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---
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**Subhobrata Dey** is a Software Development Engineer at AWS focusing on OpenSearch and primarily works on the Security Analytics and Alerting plugins. He developed the Security Analytics plugin from scratch.

_authors/jimishsh.markdown

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---
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name: Jimish Shah
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short_name: jimishsh
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photo: '/assets/media/authors/jimishsh.jpg'
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---
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**Jimish Shah** is a Senior Product Manager at AWS with 15+ years of experience bringing products to market in log analytics, cybersecurity, and IP video streaming. He’s passionate about launching products that offer delightful customer experiences and solving complex customer problems. In his free time, he enjoys exploring cafes, hiking, and taking long walks.

_authors/pallp.markdown

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---
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short_name: pallp
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name: Pallavi Priyadarshini
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photo: '?uid=pallp'
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photo: '/assets/media/authors/pallp.png'
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Pallavi Priyadarshini is an Engineering Manager at Amazon Web Services, leading the design and development of high-performing and at-scale analytics technologies.
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**Pallavi Priyadarshini** is an Engineering Manager at Amazon Web Services, leading the design and development of high-performing and at-scale analytics technologies.

_authors/prabarch.markdown

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---
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name: Prabhakar Sithanandam
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short_name: prabarch
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photo: '/assets/media/authors/prabarch.jpeg'
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---
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**Prabhakar Sithanandam** is a Principal Engineer at AWS focusing on OpenSearch. He spends most of his time tinkering with the OpenSearch engine to make it more performant and optimized for various use cases.

_authors/praveensameneni.markdown

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github: praveensameneni
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---
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Praveen Sameneni is an Engineering Manager at AWS. Praveen is focused on plugin development and all things extensible for OpenSearch
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Praveen Sameneni is an Engineering Manager at AWS heading the development of Security Analytics, Performance, and Auto Tuning. Praveen brings over 20 years of experience in distributed technologies, with a focus on optimization. He is passionate about observability, performance, and security.

_authors/xeniatup.markdown

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---
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name: Xenia Tupitsyna
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short_name: xeniatup
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photo: '/assets/media/authors/xeniatup.jpg'
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github: xeniatup
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linkedin: xenia-tupitsyna
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---
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**Xenia Tupitsyna** is a UX designer at OpenSearch. She is working on user experiences across Machine learning, Alerting, and Security Analytics solutions.

_events/2023-0718-2-9-release-meetings.markdown

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**July 17th - 3PM PT**
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* Go / No-Go voting
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* Go / No-Go voting (result = no-go)
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**July 18th - 3PM PT**
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* Go / No-Go voting (result = no-go)
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**July 19th - 3PM PT**
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* Go / No-Go voting
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**TBD**
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* [Release / Post release](https://github.com/opensearch-project/opensearch-build/blob/1499c472fec3d36bc0d3b30ffca8b08bb5a65c4d/RELEASE_PROCESS_OPENSEARCH.md#release) (Release day!) [Release manager, leadership team, Repository owners ]
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---
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# put your event date and time (24 hr) here:
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eventdate: 2023-07-25T10:00
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# the UTC offset (https://en.wikipedia.org/wiki/UTC_offset):
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tz: UTC -7
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# the title - this is how it will show up in listing and headings on the site:
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title: Efficient Vector Search with OpenSearch - Webinar with BigData Boutique and MyPart
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# if your event has an online component, put it here:
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online: true
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# This is for the sign up button
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signup:
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# the link URL
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url: https://bigdataboutique.com/blog/webinar-efficient-vector-search-with-opensearch-5482ac
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# the button text
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title: Join us on this webinar
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# below this tripple dash, describe your event. It should be 1-3 sentences
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---
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Join MyPart's CEO and Chief Architect [Matan Kollnescher](https://www.linkedin.com/in/matan-kollnescher-32016453/), and Itamar Syn-Hershko, CTO and Founder of [BigData Boutique](https://bigdataboutique.com), to learn how MyPart revolutionized song search by using Vector Embedding and OpenSearch.
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In this session, we'll discuss MyPart's unique use-case and multi-dimensional approach that slices up sounds, lyrics and musical compositions into vectors that make sense to a computer. With that information stored in a Vector Database, MyPart can run intelligent, low-latency queries on huge music catalogs, without compromising accuracy or functionality.
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We will then dive into the intricacies of Vector Search with OpenSearch, learning ML techniques that apply to a wide range of projects. As we get more technical, we’ll discuss how OpenSearch makes searching through vector data easy and efficient.
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_posts/2023-06-15-registration-for-opensearchcon-2023-is-now-open.md

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![opensearchcon 2022 stage](/assets/media/blog-images/2023-06-15-registration-for-opensearchcon-2023-is-now-open/245890710-13cfc936-f1c7-4e4b-91c5-9927af4a05e2.jpg "Laysa Uchoa giving her keynote speech at OpenSearconCon 2022"){: .img-fluid}
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[OpenSearchCon](https://opensearchcon2023.splashthat.com/) is back! The OpenSearch community will get together again September 27-29 to learn, share, and connect about all things search and analytics. The event is in-person only and there is no fee to attend.
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[OpenSearchCon](https://opensearchcon2023.splashthat.com/) is back! The OpenSearch community will get together again September 27-29 to learn and connect about all things search and analytics. The event is in-person only and there is no fee to attend.
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We’re making room for more builders and more content by taking over the Sheraton Grand in Seattle. [Special room rates](https://book.passkey.com/event/50584019/owner/346/home) are available for those who wish to stay at the event hotel. OpenSearchCon 2023 passes are limited, so we encourage everyone to [register today](https://opensearchcon2023.splashthat.com/) in order to claim your spot at this year’s conference.
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