Retrieval-Augmented-Generation

This document explores the challenges of large language models and how retrieval-augmented generation (RAG) addresses issues of outdated knowledge and lack of sources, with practical examples.

This document introduces retrieval-augmented generation (RAG), its components benefits, limitations of generative AI, and practical applications, with a focus on implementation using Google Cloud tools.