MC08: LlamaIndex – Retrieval Augmented Generation (RAG) is a hands-on masterclass under the AI Residency program focused on building intelligent AI systems that can retrieve and reason over external knowledge sources.

In this session, participants will learn how Retrieval Augmented Generation (RAG) works and how to implement it using LlamaIndex. The masterclass covers indexing data, connecting LLMs to custom knowledge bases, and building applications that deliver accurate, context-aware responses. By the end of the session, learners will be able to design and deploy RAG-powered AI systems that enhance LLM performance with real-time and domain-specific data.

This masterclass is part of the AI Residency.

✅ Join the new AI Residency cohort starting Jul 11 to build this end-to-end with guided support, project feedback, and a production-ready workflow—from data ingestion → indexing → retrieval → evaluation → deployment.

https://academy.decodingdatascience.com/airesidencyfasttrack