What is retrieval augmented generation?

Retrieval-Augmented Generation (RAG) is a powerful technique in AI that combines large language models with real-time access to external data sources, allowing for more accurate, relevant, and timely responses. By dynamically retrieving authoritative information, RAG enables generative models to overcome the limitations of static, pre-trained knowledge, making them more effective for applications where precision and […]

RAG techniques: From naive to advanced

Imagine you’re demoing your company’s new AI chatbot to a potential client. You ask it about their latest product, the one they’ve been working on for months, and what does it return? Information from two years ago about a product they don’t even sell anymore. Frustrating, right? This is a good example of what retrieval […]