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.
1 minute
