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From RAG to Agent Memory: Hands-on Developer Workshop

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About this event

What to expect

Master the fundamentals of retrieval-augmented generation and persistent agent memory in this comprehensive, hands-on workshop designed for developers building production AI applications. Over the course of a full day, you'll move from theoretical foundations to practical implementation, gaining direct coding experience with modern AI data architectures.

What Makes This Workshop Essential

While many AI developers understand basic LLM interactions, building robust applications requires understanding how to give your AI agents context, memory, and retrieval capabilities. This workshop bridges that gap through practical exercises using LangChain, Python, and Oracle AI Database. You'll learn the data modeling and engineering patterns that distinguish production AI systems from simple prototypes.

Core Learning Areas

The workshop covers three fundamental pillars of modern AI application development:

AI Data Fundamentals — Build a solid foundation in vector data structures, similarity metrics, and the database concepts that underpin intelligent applications. You'll understand how AI systems store and query information at scale.

Production RAG Pipelines — Work through the complete lifecycle of a retrieval-augmented generation system using LangChain and Python. Topics include data ingestion strategies, vector search implementation, retrieval optimization, and response generation patterns.

Agent Memory Architecture — Implement persistent memory systems that give your AI agents true contextual awareness. You'll build episodic memory (what happened), semantic memory (what things mean), and procedural memory (how to do things), plus learn techniques for cross-session recall and intelligent context management.

Who Should Attend

This workshop is designed for developers with Python experience who want to build serious AI applications. Whether you're integrating AI into existing products, building autonomous agents, or designing intelligent systems that need to remember and reason across conversations, you'll gain practical skills applicable immediately to production environments.

Workshop Format

Bring your laptop ready to code. The session is structured around hands-on exercises where you'll build working implementations, not just watch demonstrations. Expect to leave with code samples, architectural patterns, and a deeper understanding of the engineering decisions behind successful AI applications

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