RAG Fundamentals: Getting Started with Retrieval-Augmented Generation

Mastering the basics of RAG still beats advanced techniques

Retrieval-Augmented Generation (RAG) is a powerful technique that blends the strengths of large language models with external knowledge sources, offering more accurate, grounded, and scalable responses. While fine-tuning models on massive corpora is resource-heavy, RAG allows dynamic access to updated information without retraining.

In this guest post, P…