YugabyteDB Extends its Vector Search Functionality and PostgreSQL Compatibility for AI App-Developers

Yugabyte, recognized as a leader in distributed SQL databases, has unveiled a suite of innovative features aimed at addressing the evolving demands of AI developers. This latest iteration of YugabyteDB is designed to be the quintessential AI-ready, multi-modal distributed PostgreSQL database, tailored for business-critical applications that require resilience, scalability, and geo-distribution.

New Capabilities for AI-Powered Applications

The recent release introduces transformative capabilities that empower organizations to enhance their Generative AI (GenAI) and AI-driven applications. Key features include:

  • YugabyteDB MCP Server: Facilitates seamless AI-powered experiences within applications.
  • Integration Support: Compatibility with LangChain, OLLama, LlamaIndex, AWS Bedrock, and Google Vertex AI.
  • Multi-modal API Support: Addition of MongoDB API support for scaling MongoDB workloads alongside PostgreSQL (YSQL) and Cassandra (YCQL).
  • Online Upgrades: Enables upgrades and downgrades across major PostgreSQL versions without any downtime.
  • Enhanced PostgreSQL Compatibility: Features such as generated columns, foreign keys on partitioned tables, and multi-range aggregates.
  • Built-in Connection Pooling: Capable of supporting tens of thousands of connections per node.

PostgreSQL has emerged as the preferred database for developers and enterprises alike, and YugabyteDB stands out as one of the most PostgreSQL-compatible, enterprise-grade, cloud-native databases available. However, the needs of developers crafting modern AI applications extend beyond mere familiarity with a database.

“Today’s launch is another key step in our quest to deliver the database of choice for developers building mission-critical AI-powered applications,” remarked Karthik Ranganathan, co-founder and CEO of 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.”

The introduction of multi-modal API support across YSQL, YCQL, and MongoDB, coupled with vector indexing and search capabilities via the YugabyteDB MCP server, enables organizations to construct and deploy highly resilient, scalable AI-powered applications. With an impressive uptime of 99.99% or higher, these applications leverage familiar PostgreSQL structures alongside advanced vector search functionalities designed for handling over a billion vectors. Furthermore, YugabyteDB Aeon simplifies the management of AI workloads, ensuring the performance and durability essential for mission-critical applications.

For those interested in delving deeper into the new functionalities of YugabyteDB for ultra-resilient AI applications, further information is available in the accompanying blog.

The latest version of YugabyteDB will be prominently featured at the Distributed SQL Summit Asia on July 24, 2025. This event will highlight how distributed SQL is revolutionizing application development and enterprise scalability, allowing organizations to effortlessly build resilient, globally distributed applications. Attendees can register for the event and look forward to Yugabyte co-founder Karthik Ranganathan’s keynote address on architecting ultra-resilient, enterprise-grade AI applications that meet the demands of contemporary workloads.

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YugabyteDB Extends its Vector Search Functionality and PostgreSQL Compatibility for AI App-Developers