RAG Systems¶

Retrieval Augmented Generation (RAG) is a powerful approach that combines the capabilities of large language models with external knowledge retrieval. This section covers best practices, case studies, and implementation details for building effective RAG systems.

Topics Covered¶

• Best Practices - Guidelines and recommendations for building robust RAG systems
• Case Studies - Real-world examples and implementations
• Technical deep dives into specific RAG components

Getting Started¶

If you're new to RAG, start with the Best Practices guide to understand the fundamental concepts and common pitfalls to avoid.