Elastic Jina Embeddings v3 Now Available in Gemini Enterprise Agent Platform Model Garden
Elastic Jina Embeddings v3 Now Available in Gemini Enterprise Agent Platform Model Garden
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embeddingstechnical
Embeddings are compact numeric summaries that translate text, documents or other data into a format a computer can compare and search quickly. Think of them as coordinates on a map where similar ideas end up near each other; this lets software group related announcements, detect trends or match investor questions to relevant filings. For investors, embeddings speed analysis, improve automated screening and help flag meaningful connections across large volumes of information.
virtual private clouds (vpcs)technical
A virtual private cloud (VPC) is a private, isolated section of a public cloud where a business runs its servers, applications and data, like a fenced yard within a shared property. It lets the company control who can enter, how traffic flows, and how resources scale, which affects operational reliability, security and costs. Investors watch VPC use because it influences a company's risk profile, compliance posture and cloud spending predictability.
semantic searchtechnical
Semantic search is a way for computer systems to find information by understanding the meaning behind words instead of just matching exact keywords. For investors, it helps surface relevant filings, news, and research even when different words or phrasing are used, so you’re less likely to miss important signals and can make faster, better-informed decisions—like asking a knowledgeable analyst who grasps context rather than scanning for specific phrases.
rag pipelinestechnical
A RAG pipeline is a color-coded summary of a company’s development projects or product candidates where each item is marked red, amber (yellow) or green to indicate risk, progress and likelihood of success. Like a traffic light for a portfolio, it helps investors quickly judge which programs are advancing smoothly, which need attention and which are high-risk, informing expectations about future milestones, costs and potential value.
google cloudtechnical
Google Cloud is a suite of online computing services and storage offered by a major technology provider, letting businesses rent powerful computers, data storage, and tools over the internet instead of owning and running their own hardware. For investors, it matters because cloud services are a growing, recurring source of revenue that can reflect a company’s ability to attract and retain customers, scale efficiently, and compete in data-driven markets—similar to how a utility’s steady customer base signals reliable income.
bigquerytechnical
A cloud-based data analytics service that lets organizations store and quickly analyze very large datasets without managing servers or complex infrastructure. Think of it as a powerful, on-demand library that can search and summarize millions of pages in seconds; for investors, its use can signal a company's ability to gain faster insights from data, improve efficiency, reduce IT costs, and scale analytics as the business grows.
iamtechnical
Identity and access management (IAM) is the system and policies a company uses to control who can access its digital systems, data and applications—think of it as the set of keys, locks and visitor rules for a building’s computer network. Strong IAM reduces the risk of data breaches, fraud and regulatory fines, so investors pay attention because weaknesses can lead to costly outages, damage to reputation and legal liabilities that affect a company’s value.
vpctechnical
A ventricular premature contraction (VPC) is an extra, early heartbeat that starts in the lower chambers of the heart and can feel like a skipped or pounding beat. Investors care because VPCs reported in drug or device studies can signal potential heart-related side effects that affect patient safety, regulatory review, market approval, and ultimately a company’s commercial prospects—similar to a warning light on a car that prompts deeper inspection.
High-performance, self-deployable multilingual embeddings deliver secure enterprise retrieval with full data control and predictable pricing
SAN FRANCISCO--(BUSINESS WIRE)--
Elastic (NYSE: ESTC), 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.
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.
This deployment model supports:
Total Data Sovereignty: Sensitive data doesn’t leave the security perimeter, making it ideal for regulated industries like the public sector.
Predictable Pricing: Users pay a flat hourly rate for compute rather than per-token metering, rewarding scale and high-volume traffic.
Native Integration: Seamlessly connects with existing Google Cloud services, including BigQuery, Cloud Storage, IAM for security, and unified billing.
“We’re bringing Jina models into Model Garden to make high-performance retrieval easier to deploy inside enterprise environments,” said Ken Exner, chief product officer at Elastic. “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.”
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.
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.
Jina Embeddings v3 is now available on the Gemini Enterprise Agent Platform Model Garden. Get started here.
About Elastic
Elastic (NYSE: ESTC), 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'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 elastic.co.
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.
