
High-performance, self-deployable multilingual embeddings deliver secure enterprise retrieval with full data control and predictable pricing


Elastic (NYSE:ESTC), the Search AI Company, announced that Jina Embeddings

<p xmlns="http://www.w3.org/1999/xhtml" class="bwalignc">
<i xmlns="http://www.w3.org/1999/xhtml">High-performance, self-deployable multilingual embeddings deliver secure enterprise retrieval </i><i xmlns="http://www.w3.org/1999/xhtml">with full data control and predictable pricing</i>

</p><p xmlns="http://www.w3.org/1999/xhtml">
<a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=http%3A%2F%2Felastic.co&amp;esheet=54521717&amp;newsitemid=20260423995439&amp;lan=en-US&amp;anchor=Elastic&amp;index=1&amp;md5=81349da9100cb4fa8c165c890b32e9fd" shape="rect">Elastic</a> (NYSE:<a class="ticker" href="https://www.benzinga.com/quote/ESTC">ESTC</a>), the Search AI Company, announced that Jina Embeddings v3 is now available as a self-deployable partner model in Gemini Enterprise Agent Platform Model Garden. As the first Jina model available on the platform, it enables organizations to deploy high-performance retrieval models directly within their own cloud environments.

</p><p xmlns="http://www.w3.org/1999/xhtml">
With Jina Embeddings v3 deployed directly inside their Google Cloud projects and Virtual Private Clouds (VPCs), enterprises can run embedding models within their own infrastructure, avoiding external API calls and maintaining control over sensitive data.

</p><p xmlns="http://www.w3.org/1999/xhtml">
This deployment model supports:

</p><ul xmlns="http://www.w3.org/1999/xhtml" class="bwlistdisc">
<li xmlns="http://www.w3.org/1999/xhtml">
<b xmlns="http://www.w3.org/1999/xhtml">Total Data Sovereignty</b>: Sensitive data doesn't leave the security perimeter, making it ideal for regulated industries like the public sector.

</li>
<li xmlns="http://www.w3.org/1999/xhtml">
<b xmlns="http://www.w3.org/1999/xhtml">Predictable Pricing</b>: Users pay a flat hourly rate for compute rather than per-token metering, rewarding scale and high-volume traffic.

</li>
<li xmlns="http://www.w3.org/1999/xhtml">
<b xmlns="http://www.w3.org/1999/xhtml">Native Integration</b>: Seamlessly connects with existing Google Cloud services, including BigQuery, Cloud Storage, IAM for security, and unified billing.

</li>
</ul><p xmlns="http://www.w3.org/1999/xhtml">
"We're bringing Jina models into Model Garden to make high-performance retrieval easier to deploy inside enterprise environments," said <b xmlns="http://www.w3.org/1999/xhtml">Ken Exner, chief product officer at Elastic</b>. "Organizations are no longer forced to choose between performance and control. They can now run production-ready embeddings directly within their Google Cloud VPC, with full ownership of their data and predictable costs."

</p><p xmlns="http://www.w3.org/1999/xhtml">
Jina Embeddings v3 supports a range of multilingual semantic search and retrieval use cases and is widely used in production across the Elasticsearch ecosystem. The model is well-suited for applications such as semantic search and RAG pipelines.

</p><p xmlns="http://www.w3.org/1999/xhtml">
The launch of Jina v3 in Model Garden is part of Elastic's broader rollout to provide a full, end-to-end retrieval stack, with additional embedding and reranking models planned.

</p><p xmlns="http://www.w3.org/1999/xhtml">
For more information, read the blog: <a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.elastic.co%2Fsearch-labs%2Fblog%2Fjina-embeddings-v3-gemini-enterprise-model-garden&amp;esheet=54521717&amp;newsitemid=20260423995439&amp;lan=en-US&amp;anchor=Jina+embeddings+v3+now+available+on+Gemini+Enterprise+Agent+Platform+Model+Garden&amp;index=2&amp;md5=8865a2f25fc3ccb1f5e5fbf7a4d998a1" shape="rect">Jina embeddings v3 now available on Gemini Enterprise Agent Platform Model Garden</a>

</p><p xmlns="http://www.w3.org/1999/xhtml">
<b xmlns="http://www.w3.org/1999/xhtml">Availability</b>

</p><p xmlns="http://www.w3.org/1999/xhtml">
Jina Embeddings v3 is now available on the Gemini Enterprise Agent Platform Model Garden. Get started <a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fconsole.cloud.google.com%2Fvertex-ai%2Fpublishers%2Fjinaai%2Fmodel-garden%2Fjina-embeddings-v3&amp;esheet=54521717&amp;newsitemid=20260423995439&amp;lan=en-US&amp;anchor=here&amp;index=3&amp;md5=b597da585dd2b3697f90801749715659" shape="rect">here</a>.

</p><p xmlns="http://www.w3.org/1999/xhtml">
<b xmlns="http://www.w3.org/1999/xhtml">About Elastic</b>

</p><p xmlns="http://www.w3.org/1999/xhtml">
Elastic (NYSE:<a class="ticker" href="https://www.benzinga.com/quote/ESTC">ESTC</a>), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic&#39;s Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500. Learn more at <b xmlns="http://www.w3.org/1999/xhtml">elastic.co</b>.

</p><p xmlns="http://www.w3.org/1999/xhtml">
<i xmlns="http://www.w3.org/1999/xhtml">Elastic and associated marks are trademarks or registered trademarks of elasticsearch B.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.</i>

</p><p xmlns="http://www.w3.org/1999/xhtml"><img xmlns="http://www.w3.org/1999/xhtml" alt="" src="https://cts.businesswire.com/ct/CT?id=bwnews&amp;sty=20260423995439r1&amp;sid=benz2&amp;distro=nx&amp;lang=en" style="width:0;height:0"></img><span xmlns="http://www.w3.org/1999/xhtml" class="bwct31415"></span></p><p xmlns="http://www.w3.org/1999/xhtml" id="mmgallerylink"><span xmlns="http://www.w3.org/1999/xhtml" id="mmgallerylink-phrase">View source version on businesswire.com: </span><span xmlns="http://www.w3.org/1999/xhtml" id="mmgallerylink-link"><a xmlns="http://www.w3.org/1999/xhtml" href="https://www.businesswire.com/news/home/20260423995439/en/" rel="nofollow">https://www.businesswire.com/news/home/20260423995439/en/</a></span></p><p xmlns="http://www.w3.org/1999/xhtml">
<b xmlns="http://www.w3.org/1999/xhtml">Media Contact 
</b><br xmlns="http://www.w3.org/1999/xhtml"></br>Elastic PR
<br xmlns="http://www.w3.org/1999/xhtml"></br><a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="mailto:PR-team@elastic.co" shape="rect">PR-team@elastic.co</a>

</p>

ESTC

Elastic Jina Embeddings v3 Now Available in Gemini Enterprise Agent Platform Model Garden

Elastic's Jina Embeddings v3 Launch Enhances Enterprise Cloud Offerings

<section class="insight" data-version="1">
  <section data-block="information">
    <h3>Information</h3>
    <p>High-performance, self-deployable multilingual embeddings deliver secure enterprise retrieval with full data control and predictable pricing


Elastic (NYSE:ESTC), the Search AI Company, announced that Jina Embeddings</p>
  </section>

  <section data-block="ai-summary-paragraph">
    <h3>AI Summary</h3>
    <p>Elastic has introduced Jina Embeddings v3, enabling enterprises to self-deploy high-performance retrieval models on Google Cloud. This development supports data sovereignty and offers predictable pricing, making it attractive for regulated industries. The move aligns with Elastic&#039;s strategy to deliver a comprehensive retrieval stack, potentially boosting adoption and revenue in cloud services.</p>
  </section>

  <section data-block="ai-summary-bullets">
    <h3>Key Points</h3>
    <ul><li>Elastic launched Jina Embeddings v3 on Google Cloud&#039;s Model Garden.</li><li>Enterprises can run embedding models on their own cloud without API calls.</li><li>The model provides total data sovereignty and predictable pricing.</li><li>Used across various use cases, it&#039;s integrated with Google Cloud services.</li><li>This launch supports Elastic&#039;s strategy for a full retrieval stack.</li></ul>
  </section>

  <section data-block="companies-mentioned">
    <h3>Companies Mentioned</h3>
    <ul><li><strong>Google (GOOGL)</strong>: Google Cloud&#039;s integration enhances Elastic&#039;s offerings in their ecosystem.</li></ul>
  </section>

  <section data-block="category">
    <h3>Corporate Developments</h3>
    <p>This news falls under &#039;Corporate Developments&#039; as it involves a significant product launch by Elastic. It fits because the launch is aimed at improving the capabilities of their cloud offerings, which could lead to increased enterprise sales and market share.</p>
  </section>

  <section data-block="market-moving">
    <h3>Market-Moving</h3>
    <ul><li>The integration with Google Cloud enhances Elastic&#039;s competitive position in the market.</li><li>Jina Embeddings v3 targets regulated industries, potentially expanding customer base significantly.</li><li>Predictable pricing structure may lead to higher adoption rates due to cost transparency.</li><li>Increased enterprise deployments could enhance revenue visibility moving forward.</li></ul>
  </section>

  <section data-block="key-facts">
    <h3>Key Facts</h3>
    <ul><li>Jina Embeddings v3 is self-deployable within Google Cloud projects.</li><li>Flat hourly pricing model supports high-volume usage without per-token costs.</li><li>The model enables enterprises to maintain control over sensitive data.</li><li>Elastic&#039;s retrieval stack includes additional models expected to launch soon.</li><li>The software is compatible with existing Google Cloud services like BigQuery.</li></ul>
  </section>

  <section data-block="trading-thesis">
    <h3>Trading Thesis</h3>
    <p>Consider buying ESTC shares in anticipation of increased enterprise adoption and revenue growth in the coming quarters.</p>
  </section>
</section>


<p xmlns="http://www.w3.org/1999/xhtml" class="bwalignc">
<i xmlns="http://www.w3.org/1999/xhtml">High-performance, self-deployable multilingual embeddings deliver secure enterprise retrieval </i><i xmlns="http://www.w3.org/1999/xhtml">with full data control and predictable pricing</i>

</p><p xmlns="http://www.w3.org/1999/xhtml">
<a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=http%3A%2F%2Felastic.co&amp;esheet=54521717&amp;newsitemid=20260423995439&amp;lan=en-US&amp;anchor=Elastic&amp;index=1&amp;md5=81349da9100cb4fa8c165c890b32e9fd" shape="rect">Elastic</a> (NYSE:<a class="ticker" href="https://www.benzinga.com/quote/ESTC">ESTC</a>), the Search AI Company, announced that Jina Embeddings v3 is now available as a self-deployable partner model in Gemini Enterprise Agent Platform Model Garden. As the first Jina model available on the platform, it enables organizations to deploy high-performance retrieval models directly within their own cloud environments.

</p><p xmlns="http://www.w3.org/1999/xhtml">
With Jina Embeddings v3 deployed directly inside their Google Cloud projects and Virtual Private Clouds (VPCs), enterprises can run embedding models within their own infrastructure, avoiding external API calls and maintaining control over sensitive data.

</p><p xmlns="http://www.w3.org/1999/xhtml">
This deployment model supports:

</p><ul xmlns="http://www.w3.org/1999/xhtml" class="bwlistdisc">
<li xmlns="http://www.w3.org/1999/xhtml">
<b xmlns="http://www.w3.org/1999/xhtml">Total Data Sovereignty</b>: Sensitive data doesn't leave the security perimeter, making it ideal for regulated industries like the public sector.

</li>
<li xmlns="http://www.w3.org/1999/xhtml">
<b xmlns="http://www.w3.org/1999/xhtml">Predictable Pricing</b>: Users pay a flat hourly rate for compute rather than per-token metering, rewarding scale and high-volume traffic.

</li>
<li xmlns="http://www.w3.org/1999/xhtml">
<b xmlns="http://www.w3.org/1999/xhtml">Native Integration</b>: Seamlessly connects with existing Google Cloud services, including BigQuery, Cloud Storage, IAM for security, and unified billing.

</li>
</ul><p xmlns="http://www.w3.org/1999/xhtml">
"We're bringing Jina models into Model Garden to make high-performance retrieval easier to deploy inside enterprise environments," said <b xmlns="http://www.w3.org/1999/xhtml">Ken Exner, chief product officer at Elastic</b>. "Organizations are no longer forced to choose between performance and control. They can now run production-ready embeddings directly within their Google Cloud VPC, with full ownership of their data and predictable costs."

</p><p xmlns="http://www.w3.org/1999/xhtml">
Jina Embeddings v3 supports a range of multilingual semantic search and retrieval use cases and is widely used in production across the Elasticsearch ecosystem. The model is well-suited for applications such as semantic search and RAG pipelines.

</p><p xmlns="http://www.w3.org/1999/xhtml">
The launch of Jina v3 in Model Garden is part of Elastic's broader rollout to provide a full, end-to-end retrieval stack, with additional embedding and reranking models planned.

</p><p xmlns="http://www.w3.org/1999/xhtml">
For more information, read the blog: <a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.elastic.co%2Fsearch-labs%2Fblog%2Fjina-embeddings-v3-gemini-enterprise-model-garden&amp;esheet=54521717&amp;newsitemid=20260423995439&amp;lan=en-US&amp;anchor=Jina+embeddings+v3+now+available+on+Gemini+Enterprise+Agent+Platform+Model+Garden&amp;index=2&amp;md5=8865a2f25fc3ccb1f5e5fbf7a4d998a1" shape="rect">Jina embeddings v3 now available on Gemini Enterprise Agent Platform Model Garden</a>

</p><p xmlns="http://www.w3.org/1999/xhtml">
<b xmlns="http://www.w3.org/1999/xhtml">Availability</b>

</p><p xmlns="http://www.w3.org/1999/xhtml">
Jina Embeddings v3 is now available on the Gemini Enterprise Agent Platform Model Garden. Get started <a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fconsole.cloud.google.com%2Fvertex-ai%2Fpublishers%2Fjinaai%2Fmodel-garden%2Fjina-embeddings-v3&amp;esheet=54521717&amp;newsitemid=20260423995439&amp;lan=en-US&amp;anchor=here&amp;index=3&amp;md5=b597da585dd2b3697f90801749715659" shape="rect">here</a>.

</p><p xmlns="http://www.w3.org/1999/xhtml">
<b xmlns="http://www.w3.org/1999/xhtml">About Elastic</b>

</p><p xmlns="http://www.w3.org/1999/xhtml">
Elastic (NYSE:<a class="ticker" href="https://www.benzinga.com/quote/ESTC">ESTC</a>), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic&#39;s Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500. Learn more at <b xmlns="http://www.w3.org/1999/xhtml">elastic.co</b>.

</p><p xmlns="http://www.w3.org/1999/xhtml">
<i xmlns="http://www.w3.org/1999/xhtml">Elastic and associated marks are trademarks or registered trademarks of elasticsearch B.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.</i>

</p><p xmlns="http://www.w3.org/1999/xhtml"><img xmlns="http://www.w3.org/1999/xhtml" alt="" src="https://cts.businesswire.com/ct/CT?id=bwnews&amp;sty=20260423995439r1&amp;sid=benz2&amp;distro=nx&amp;lang=en" style="width:0;height:0"></img><span xmlns="http://www.w3.org/1999/xhtml" class="bwct31415"></span></p><p xmlns="http://www.w3.org/1999/xhtml" id="mmgallerylink"><span xmlns="http://www.w3.org/1999/xhtml" id="mmgallerylink-phrase">View source version on businesswire.com: </span><span xmlns="http://www.w3.org/1999/xhtml" id="mmgallerylink-link"><a xmlns="http://www.w3.org/1999/xhtml" href="https://www.businesswire.com/news/home/20260423995439/en/" rel="nofollow">https://www.businesswire.com/news/home/20260423995439/en/</a></span></p><p xmlns="http://www.w3.org/1999/xhtml">
<b xmlns="http://www.w3.org/1999/xhtml">Media Contact 
</b><br xmlns="http://www.w3.org/1999/xhtml"></br>Elastic PR
<br xmlns="http://www.w3.org/1999/xhtml"></br><a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="mailto:PR-team@elastic.co" shape="rect">PR-team@elastic.co</a>

</p>

Elastic has introduced Jina Embeddings v3, enabling enterprises to self-deploy high-performance retrieval models on Google Cloud. This development supports data sovereignty and offers predictable pricing, making it attractive for regulated industries. The move aligns with Elastic's strategy to deliver a comprehensive retrieval stack, potentially boosting adoption and revenue in cloud services.

Elastic Jina Embeddings v3 Now Available in Gemini Enterprise Agent Platform Model Garden

AI Summary

Sentiment Rationale

Trading Thesis

Market-Moving

Key Facts

Companies Mentioned

Corporate Developments

Related News