Hands-on developer workshop - From RAG to Agent Memory

Important: Register on the event website is required for admission.
RSVP on meetup is turned off.

This full-day session is designed for developers who want practical experience building AI applications with retrieval-augmented generation (RAG) and agent memory.

During the workshop, you’ll work through real coding exercises that take you from AI data fundamentals to building production-style RAG pipelines and implementing persistent memory for AI agents.
Bring your laptop and be ready to build.

### What You Will Learn

• AI data fundamentals for application development
• Vector search and similarity metrics
• Building RAG pipelines with LangChain and Python
• Implementing agent memory and context management
• Designing production-ready AI workflows

### Workshop Topics

Data Fundamentals for AI Applications
Learn the database and data modeling concepts behind modern AI applications, including vector data, similarity search, and data structures used in AI systems.

Building RAG and Agentic Applications
Build a production-style RAG pipeline using LangChain and Python, covering data ingestion, vector search, retrieval, and response generation.

Agent Memory and Context Engineering
Implement persistent agent memory using Oracle AI Database, including episodic, semantic, and procedural memory, cross-session recall, and context management.

Important: Register on the event website is required for admission.