Jan
23
2:00pm
Zero Ops, Maximum Impact: Build GenAI RAG Apps with Jakarta EE
By Payara
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.
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