A Simple Guide to Retrieval Augmented Generation

Generative AI models struggle when you ask them about facts not covered in their training data. Retrieval Augmented Generation―or RAG―enhances an LLM's available data by adding context from an external knowledge base, so it can answer accurately about proprietary content, recent information, and even live conversations. RAG is powerful, and with A Simple Guide to Retrieval Augmented Generation, it's also easy to understand and implement!