Configuring Vector Search in Cloud SQL for PostgreSQL GSP1287

Overview Imagine your applications searching your Cloud SQL for PostgreSQL database and quickly identifying related data, even if the provided search phase is not actually included in the stored text! This is now possible by leveraging the power of Vertex AI text embeddings to conduct vector search within Cloud SQL for PostgreSQL. Cloud SQL for PostgreSQL is a fully managed, cost-effective relational database service for PostgreSQL that is enterprise-ready and developer-friendly. In addition, you can leverage artificial intelligence (AI) functionality in Cloud SQL for PostgreSQL to accomplish tasks such as building Generative AI applications and surfacing data in your Cloud SQL for PostgreSQL database based on relevance to your specific search terms. Vector search is a methodology that can be used to quickly find similar items based on their semantic meaning (rather than exact keyword matching) and can be applied to many types of data including audio, images, videos, and text. For text specifically, vector search enables you to find similar text items without needing their contents to match the exact text or phrase used in the search. In this lab, you learn the fundamentals of configuring vector search in Cloud SQL for PostgreSQL by first generating and storing text embeddings (vectors containing numerical representations of semantic meaning of text), and then using those text embeddings to perform fast similarity searches. This hands-on lab uses patent data to highlight how vector search can be leveraged in Cloud SQL for PostgreSQL to search lengthy and technical abstracts that can make it difficult to grasp the core idea quickly and that can result in inaccurate results when using keyword matches. What you'll learn In this lab, you learn how to: - Configure a Cloud SQL for PostgreSQL database to support vector search - Create a table and load data in Cloud SQL for PostgreSQL - Generate and store text embeddings in Cloud SQL for PostgreSQL - Perform vector search in Cloud SQL for PostgreSQL using text embeddings #gcp #googlecloud #qwiklabs #learntoearn