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

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

What You’ll Learn:

• 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

Perfect For:

• 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.