Large language models (LLMs) have evolved beyond generating text responses to interpreting text prompts. Discover how you can use a multimodal LLM to search your AI applications with PostgreSQL pgvector. This blog examines the architecture, database schema, and code required to build an application that searches recipes by both text and image.
As part of our commitment to maintaining the highest security standards and ensuring the integrity of our customers’ data, Yugabyte has partnered with HackerOne, the leading platform for security vulnerability coordination and bug bounty.
We are inviting a select group of ethical hackers to conduct real-time penetration testing on YugabyteDB Aeon, our PostgreSQL-compatible managed cloud DBaaS. Read our blog to discover how you can get involved.
Whether it’s managing complex in-game transactions, or providing low-latency access to a global player base, YugabyteDB is the cornerstone of next-gen gaming infrastructure. This blog explores how YugabyteDB addresses the unique challenges of online gaming, and provides insights into its technical capabilities and real-world applications.
Database High Availability has traditionally been achieved through enhanced and automated disaster recovery solutions. Although these measures reduce the impact of failures, they still result in complete downtime for the application during the failover process. In this blog, we compare this approach with cloud-native solutions for high availability, focusing on resiliency built directly into the database.
Having different names for our YugabyteDB DBaaS deployment options has led to some confusion. To make it clear that these are two deployment options of one core product we’ve unified the product name – YugabyteDB Aeon! In this blog, we share the benefits of YugabyteDB Aeon and detail how to choose the best deployment option for your use case.
Developers can now store, index and query vectors in PostgreSQL using pgvector, eliminating the need for a dedicated vector database. This blog deep dives into pgvector, and explains how to store text embeddings as vectors, execute similarity search, choose between indexes, and scale with distributed SQL.
Optimizing SQL indexing involves carefully considering the column order, understanding index scan ranges, and leveraging the index scan capabilities of your database to ensure efficient query performance. Discover how you can do this effectively by following the steps laid out in this new ‘How to’ guide.
Discover how a top bank used the YugabyteDB xCluster Playbook to evaluate and adopt xCluster, and achieve business continuity for critical applications. By following the Playbook, organizations can expedite and harden their evaluation process for YugabyteDB xCluster, and gain a clear understanding of whether it meets their specific needs.
In this blog post, we examine how you can migrate data and schema from an existing PostgreSQL database using YugabyteDB Voyager. With a focus on data modeling for appropriate data distribution, we explore two different migration approaches: “Lift” and “Lift & Shift.”
Achieve disaster recovery for cloud-native PostgreSQL deployments using YugabyteDB in Microsoft Azure. Discover how you can leverage YugabyteDB’s xCluster disaster recovery (DR) feature to maintain high availability and ensure data integrity. Use the active-active single-master configuration to achieve disaster recovery across two regions.
