Retrieval-Augmented Generation (RAG) with LlamaIndex

This Retrieval-Augmented Generation (RAG) with LlamaIndex training course covers the fundamental concepts of LlamaIndex, including data loading, indexing, and efficient querying using large language models (LLMs). You will gain practical knowledge on organizing LlamaIndex and effectively storing and retrieving data to support advanced AI operations.

Dive deeper into the intricacies of RAG systems, exploring key components like the ingestion and query pipelines. Learn the art of prompt engineering, crucial for tailoring AI interactions, and prepare data efficiently to enhance system performance. The course concludes with an in-depth examination of RAG evaluation, where you will master evaluation metrics and learn to create robust evaluation sets to ensure the effectiveness of your AI systems.