Master Advanced RAG Pipelines with LlamaIndex

Welcome to an exciting guide on building advanced Retrieval-Augmented Generation (RAG) pipelines! RAG is a cutting-edge technique that combines retrieval-based methods with generative models to enhance the accuracy and relevance of AI responses by incorporating external knowledge. In this webinar, we will explore LlamaIndex integration—a powerful tool that empowers large language models with advanced retrieval capabilities. If you're eager to supercharge your AI models with efficient information retrieval, this session is for you!

The speaker will provide a brief overview of the basics of RAG before diving deep into RAG pipeline development with LlamaIndex. You'll explore RAG pipeline architecture, focusing on advanced techniques such as:

-Multi-query decomposers

-Google Search integration

-Re-rankers

-Observability tools and other advanced concepts

By mastering these advanced methods and RAG pipeline workflows, you'll be ready to build robust, production-ready AI applications across various sectors—healthcare, e-commerce, or legal tech.

Experience live demos and easy-to-follow visuals. Learn to build robust RAG pipelines with LlamaIndex and elevate your AI solutions for any industry—healthcare, e-commerce, legal tech, and more! Join us and boost your AI skills!