Building RAG Applications

A hands-on, intermediate course on Retrieval-Augmented Generation (RAG). Move beyond basic prompting and learn to build production-grade RAG pipelines using LangChain and LlamaIndex — covering text chunking, embedding models, vector stores, hybrid retrieval, advanced patterns like HyDE and query decomposition, and evaluation with RAGAS. Every module includes real Python code you can run today.

By CloudaQube Engineering