Session
Seamless Vector Search in Python with SQLAlchemy and the Oracle Database
This session dives deep into the recent enhancements in SQLAlchemy that provide native support for Oracle Database 26ai VECTOR data types.
We will explore how to define vector columns within your declarative models, perform efficient similarity searches, and leverage Oracle Python Driver to handle high-dimensional embeddings.
Attendees will learn how to integrate vector search capabilities into their existing Python stacks without abandoning the productivity and safety of the SQLAlchemy ORM, ensuring their applications remain scalable, maintainable, and ready for the next wave of data-driven innovation.
Juarez Junior
Software Architect / Engineer, Solutions Architect, Developer Advocate
Dublin, Ireland
Links
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top