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

Yugabyte, the distributed SQL database experts, announced new vector search, PostgreSQL, and multi-modal functionality to meet the growing needs of AI developers all in one, ultra-resilient distributed database. YugabyteDB is the industry’s leading AI-ready, multi-modal distributed PostgreSQL database designed for business-critical applications with built-in resilience, seamless scalability, and flexible geo-distribution.

This release introduces groundbreaking new capabilities that allow organizations to run more effective and future-proof GenAI and AI-powered apps, including:

• YugabyteDB MCP Server for seamless AI-powered experiences in applications
• Support for LangChain, OLLama, LlamaIndex, AWS Bedrock, and Google Vertex AI
• Multi-modal API support with the addition of MongoDB API support for scaling MongoDB workloads in addition to PostgreSQL (YSQL) and Cassandra (YCQL)
• Online upgrades and downgrades across major PostgreSQL versions with zero downtime
• Enhanced PostgreSQL compatibility with generated columns, foreign keys on partitioned tables, and multi-range aggregates
• Built-in Connection Pooling that can support tens of thousands of connections per node.

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PostgreSQL has become the database of choice for developers and enterprises, and YugabyteDB provides one of the most PostgreSQL-compatible enterprise-grade, cloud-native databases on the market. However, developers building modern AI applications need more than a familiar 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,” 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.”

Multi-modal API support across YSQL, YCQL, and MongoDB, workloads, and vector indexing and search with a YugabyteDB MCP server means organizations can now build and deploy highly resilient, “ready-to-scale” RAG, and AI-powered applications with 99.99% or higher uptime using familiar PostgreSQL and powerful vector search capabilities architected for 1 billion+ vectors. At the same time, YugabyteDB Aeon eliminates the complexity of managing AI workloads and delivers the performance and durability that mission-critical applications demand.

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Discover more about the new YugabyteDB functionality for ultra-resilient AI apps in this blog.

The latest version of YugabyteDB will be showcased at Distributed SQL Summit Asia on July 24, 2025. This event will explore how distributed SQL is transforming application development and enterprise scalability, enabling organizations to build resilient, globally distributed applications with ease. Register for the event here and watch Yugabyte co-founder Karthik Ranganathan’s opening keynote on architecting ultra-resilient, enterprise-grade AI applications that meet the demands of modern workloads.