Retrieval-Augmented Generation

Purpose

Build a RAG system whose answers are grounded in retrieved evidence, and be able to tell — when an answer is wrong — whether the retriever failed to find the right document or the generator failed to use it.

When to Use

• Building question answering over a document corpus.
• A RAG system that returns confident, wrong answers.
• Choosing chunking, embedding, and retrieval strategy.
• Adding citation and grounding to a generative feature.

Capabilities