Get Hands On with EDB Postgres® AI
Experience EDB Postgres AI in free, one-on-one online workshops tailored to your business and use case.
Tired of the hype and ready to dig into what it really takes to build powerful GenAI applications and agents?
Are you grappling with a sovereign-first approach for your AI and analytics workloads? Perhaps you're wondering what it's like to actually use EDB Postgres AI (EDB PG AI), how agents and analytics integrate with Postgres, or what merging data, agents, and analytics actually looks like in practice?
It’s time to find out.
We're piloting a series of free online PG AI workshops in which our experts will craft hands-on experiences for developers around topics like:
Building an internal knowledge base chat assistant
Using EDB PG AI Factory to implement a virtual assistant that can answer questions based on ingested corporate documents and sensitive data.
Querying and governing lakehouse tables
Use EDB PG AI Analytics Accelerator to query Iceberg and Delta tables in an existing lakehouse and explore data governance capabilities with the Iceberg REST Catalog catalog built into EDB PG AI Hybrid Manager.
Creating a multi-modal search engine
Use EDB PG AI Factory to set up a multi-modal search engine that searches across structured, unstructured, and semi-structured data.
Deploying agentic analytics
Use the Agent Studio capabilities of EDB PG AI Factory to create an AI agent and a set of tools that can analyze organizational data.
Working with time-series data in Postgres
Use the EDB PG AI bluefin extension to store and process time series data.
Whether you’re interested in these topics or other use cases, use the form below to let us know and secure your spot. We’ll be in touch to discuss details and schedule a hands-on session.
What Are You Building Next?
Tell us about what you want to build, and we’ll reach out to schedule a hands-on EDB Postgres AI workshop tailored to your use case.
Get to Know EDB PG AI
EDB PG AI is a sovereign data and AI platform that leverages the power of Postgres to unify AI, analytics, and database workloads — enabling you to build, deploy, and manage intelligent systems across hybrid environments.
