Want to build powerful AI applications that can intelligently search and analyze your internal documents? 

Join us to learn how to create a serverless Retrieval Augmented Generation (RAG) application using modern Java technologies and cloud services.

In this practical, code-focused webinar, we'll demonstrate how to:

Build a production-ready RAG application using Jakarta EE and LangChain4J

Create a scalable document processing pipeline using Azure Blob Storage

Store and retrieve embeddings efficiently with serverless Postgres on Neon

Deploy your application effortlessly to Payara Cloud

Implement best practices for handling internal document security and access

Setting up a Jakarta EE project with LangChain4J integration

Configuring Azure Blob Storage as your document repository

Managing vector embeddings with Neon's serverless Postgres

Deploying and scaling your application on Payara Cloud

Tips and tricks for optimizing RAG application performance

Java developers interested in building AI applications

Teams looking to implement document search and analysis

Architects exploring serverless AI solutions

Anyone wanting to leverage their internal documents with AI

Join us and learn how to combine the power of modern AI with the reliability of Jakarta EE in a fully serverless environment.

Zero Ops, Maximum Impact: Build GenAI RAG Apps with Jakarta EE