SQLBits 2024
Extendable by Design: Building Generative AI Apps with Postgres and Vector Storage and Azure AI
Explore the power and extendability of PostgreSQL in this hands-on session. Learn how PostgreSQL’s extensibility enables the adoption of innovative features like vector storage through the pgvector extension and seamless integration with Azure OpenAI. Witness a live demonstration of building a sample AI-enabled application using PostgreSQL, pgvector, and Azure extensions.
In the rapidly evolving world of technology, adaptability and extendibility are key. This talk will introduce SQL Server enthusiasts to the powerful capabilities of PostgreSQL, a database system that is not just robust, but also highly extendable.
PostgreSQL’s extensibility allows for the addition of new data types and indexing methods, enabling early adoption of innovative features like vector storage through the pgvector extension and seamless integration with existing services, such as Azure OpenAI, allowing developers to quickly build modern applications.
Through a live demonstration, we will walk you through the process of building a sample AI-enabled application using PostgreSQL, pgvector and azure_ai/azure_storage extensions. This hands-on approach will provide practical insights into the process and showcase the potential of PostgreSQL.
PostgreSQL’s extensibility allows for the addition of new data types and indexing methods, enabling early adoption of innovative features like vector storage through the pgvector extension and seamless integration with existing services, such as Azure OpenAI, allowing developers to quickly build modern applications.
Through a live demonstration, we will walk you through the process of building a sample AI-enabled application using PostgreSQL, pgvector and azure_ai/azure_storage extensions. This hands-on approach will provide practical insights into the process and showcase the potential of PostgreSQL.