Building RAG Pipelines using LlamaIndex | RAG and Agents Bootcamp

Join us for the second module of our RAG and Agents Bootcamp where we'll explore "Building RAG Pipelines using LlamaIndex." Retrieval Augmented Generation (RAG) is reshaping AI by integrating information retrieval with generative models, and LlamaIndex is at the forefront of enabling developers to build robust RAG applications effortlessly.
About the speaker:
Our speaker, Ravi Theja, is a Developer Advocate Engineer at LlamaIndex and a recognized leader in Generative AI. Awarded as one of the Top 5 Generative AI specialists by Analytics Vidya, Ravi brings deep expertise in advancing AI technologies and simplifying their integration into practical applications.
Session Highlights:
In this session, we'll delve into:
Understanding the fundamentals of LlamaIndex and its role in AI development.
Step-by-step guidance on building effective RAG pipelines using LlamaIndex.
Exploring agentic RAG frameworks to enhance AI capabilities through autonomous decision-making and dynamic content generation.