Building AI applications with PostgreSQL: A busy developer's guide
PostgreSQL is catching fire as the default database choice for AI applications. Thanks to its robust relational foundation and ecosystem of extensions like pgvector, pgvectorscale, and pgai, PostgreSQL is all you need to build a state of the art AI application.
But how can you best leverage all that PostgreSQL has to offer for AI applications? What are best practices to follow, common pitfalls to avoid, and tools that will accelerate your development?
Join us for a live webinar on the state of the union of developing AI applications in 2024, and why PostgreSQL can save you time and headaches now and in the future:
Topic: Building AI applications with PostgreSQL: A busy developer's guide
When: Thursday, 19 September 2024 at 1:00pm ET | 10:00am PT | 18:00 CET
Who: Avthar Sewrathan, PM AI and Vector @ Timescale
In this live session (plus Q+A), you’ll learn:
Why you should choose PostgreSQL as your vector database
Types of AI applications you can build with PostgreSQL: Search, RAG, Agents, Text to SQL (with live demos)
Must-know extensions for building AI applications with PostgreSQL: pgvector, pgvectorscale, and pgai
Can't make it live? No sweat, register and we'll send you the recording via email afterward.
ICYMI: Timescale recently announced the launch of two open source PostgreSQL extensions: pgai and pgvectorscale to further enrich the Postgres ecosystem and empower Postgres developers to build AI applications that are faster, more performant, and cheaper to run than ever before.
ABOUT TIMESCALE: Timescale is a mature cloud PostgreSQL platform engineered for demanding workloads like time-series, vector, events and analytics data. Timescale offers hosted PostgreSQL databases with pgvector and Timescale Vector to help you build AI applications at scale with PostgreSQL as your vector database. Learn more.