– Spanner is Google Cloud’s fully managed, highly available distributed database service with 99.999% availability SLA.
– Spanner recently announced support for searching vector embeddings with exact nearest neighbor (KNN) search in preview, enabling businesses to build generative AI at virtually unlimited scale.
– Spanner’s architecture supports large-scale vector search deployments, offering operational benefits such as simplified workflow, resource efficiency, and integration with popular AI developer tools.
Spanner is Google Cloud’s fully managed distributed database service that offers both relational and non-relational workloads with a 99.999% availability SLA. The platform recently added support for searching vector embeddings with exact nearest neighbor (KNN) search in preview, allowing businesses to build generative AI applications at virtually unlimited scale while maintaining operational simplicity.
Vector search, using numerical representations of content, can enhance gen AI applications by providing contextual, domain-specific, and real-time data for high-quality user experiences. By combining pre-trained language models with vector search and operational databases, developers can improve the accuracy and relevance of AI responses.
Large-scale vector search workloads, such as those in virtual assistant applications for financial institutions, can pose challenges for many database systems. However, Spanner’s horizontally scalable architecture enables it to support trillions of vectors for highly partitionable workloads, while maintaining low latencies and real-time data retrieval.
Spanner’s in-database vector search capabilities offer operational simplicity and resource efficiency by eliminating the need for a separate vector database. With features like high availability, managed backups, and security controls, Spanner allows users to easily query and filter vector embeddings using SQL, streamlining the development process for AI applications.
Overall, Spanner’s integration with popular AI developer tools and its support for large-scale vector search make it an ideal platform for businesses looking to leverage AI technology with virtually unlimited scalability. Users can access Spanner’s vector search capabilities through its PostgreSQL interface, enabling a familiar and portable experience for developers.