Yugabyte, the experts in distributed SQL databases, has unveiled significant updates to YugabyteDB—introducing vector search, expanded PostgreSQL support, and multi-modal capabilities. These advancements are designed to empower AI developers with everything they need in a single, ultra-resilient, distributed database platform.
The newest release of YugabyteDB delivers cutting-edge features tailored for organizations building next-generation GenAI and AI-driven applications.
These include:
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YugabyteDB MCP Server to enable seamless integration of AI capabilities into applications
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Native support for LangChain, OLLama, LlamaIndex, AWS Bedrock, and Google Vertex AI
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Multi-modal API compatibility, now including MongoDB API support to handle MongoDB workloads alongside PostgreSQL (YSQL) and Cassandra (YCQL)
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Zero-downtime online upgrades and downgrades across major PostgreSQL versions
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Advanced PostgreSQL features, including generated columns, foreign keys on partitioned tables, and multi-range aggregates
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Built-in Connection Pooling that supports tens of thousands of connections per node
PostgreSQL remains a top choice for developers and enterprises alike, and YugabyteDB continues to lead as one of the most PostgreSQL-compatible, enterprise-grade cloud-native databases available today. But for developers building intelligent, AI-enabled applications, a standard database isn’t enough.
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“Today’s launch is another key step in our quest to deliver the database of choice for developers building mission-critical AI-powered applications,” said Karthik Ranganathan, co-founder and CEO, Yugabyte. “As we continuously enhance YugabyteDB’s compatibility with PostgreSQL, the expanded multi-modal support, a new YugabyteDB MCP server, and wider integration with the AI ecosystem provide AI app developers with the tools and flexibility they need for future success.”
With support for multi-modal APIs across YSQL, YCQL, and MongoDB workloads, combined with powerful vector indexing through the new YugabyteDB MCP server, organizations can now deploy scalable, resilient, and AI-ready applications—including RAG (Retrieval-Augmented Generation)—with enterprise-grade uptime exceeding 99.99%. Designed to support over a billion vectors, the platform offers the performance, flexibility, and scale that today’s mission-critical workloads demand. Additionally, YugabyteDB Aeon simplifies the operational complexity of managing AI workloads while delivering high durability and throughput.
Yugabyte will showcase the latest release of YugabyteDB at the Distributed SQL Summit Asia, scheduled for July 24, 2025. The event will explore how distributed SQL is reshaping modern application architecture, enabling organizations to build scalable, globally distributed systems. Attendees can register for the event and watch Karthik Ranganathan’s keynote on designing enterprise-grade, AI-powered applications built for resilience and scale.