Company›Newsroom›Hazelcast Adds Vector Search, Unveils Core Architecture for AI Integration

By Hazelcast Comms

Jul 30, 2024

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Hazelcast Adds Vector Search, Unveils Core Architecture for AI Integration

Hazelcast Platform 5.5 delivers advanced query, compute capabilities to power AI and mission-critical applications

Palo Alto, Calif., July 30, 2024—Hazelcast, Inc. is announcing the introduction of vector search in the latest release of its flagship product, Hazelcast Platform. The platform delivers a core architecture that combines distributed compute, in-memory data storage, intelligent integration and vector search, all of which are key requirements for enterprise AI and critical applications. 

The introduction of vector search in Hazelcast Platform enables enterprises to deploy a high-performance pipeline to query structured and unstructured data. It offers the flexibility to generate vector data structures and embeddings from text plot summaries, delivering new efficiencies for data scientists to provide data insights. 

“The integration of vector search in Hazelcast Platform provides the core functionality and foundation upon which developers can modernize business-critical applications and innovate for the AI era,” said Adrian Soars, CTO of Hazelcast. “This latest release furthers Hazelcast’s mission to simplify technology stacks and reduce total cost of ownership, enabling technology leaders to shift budget to AI initiatives and innovation.”

In addition to unifying multiple components in a single solution, Hazelcast Platform provides significant performance gains over most competitors, especially when factoring in vector embeddings and retrievals. In internal benchmark tests of 1 million OpenAI angular vectors, Hazelcast Platform outperforms competitors, consistently delivering single-digit millisecond latency when uploading, indexing and searching vectors with 98% precision.

While applicable to all industries, vector search can immediately benefit transaction authorization applications. For example, in financial use cases such as know-your-customer (KYC) and anti-money laundering (AML), vector search can augment and expedite the verification process with semantic search across text, imagery and other sources to improve the accuracy and speed of determining whether a transaction is legitimate or fraudulent.

Advancements in compute, resilience and continuity

In addition to vector search, Hazelcast Platform continues to advance its capabilities, which provide greater flexibility, resilience and performance for enterprise applications.

  • Jet Job Placement Control enables customers to separate the compute functionality of Hazelcast Platform nodes from the data store component to provide further flexibility and resilience for compute-intensive workloads.
  • Client Multi-Member Routing improves resilience, performance and control for applications connecting to geographically dispersed clusters.

Availability and support

With this latest release, Hazelcast is introducing an industry-leading 3-year long-term support (LTS) to ensure its customers can build for the long term with simplified upgrades.

Hazelcast Platform 5.5 is generally available today. The vector search integration is available as a preview in Hazelcast Platform 5.5 Enterprise Edition, and it is expected to be available for production use in Q4 of this year.

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About Hazelcast

Hazelcast is a leading software provider powering mission-critical applications that move the economy.

Hazelcast Platform is the foundational architecture providing core capabilities for AI and critical applications. With a revolutionary approach, Hazelcast Platform combines distributed compute, in-memory data storage, intelligent integration, and vector search to simplify application development, deployment, and maintenance. The platform is relied upon by many Global 2000 enterprises in financial services, e-commerce, logistics, and other industries that are vital to the daily essential activities of individuals and businesses. For more information, visit hazelcast.com.