Amazon

Which metric best measures whether a RAG answer is grounded in the retrieved context?

Design a RAG evaluation harness, what do you measure and how?

What does RAG primarily help with in LLM based applications?

Why combine BM25 with dense embeddings for retrieval?

What distinguishes an AI agent from a plain LLM call?

How does MCP differ from OpenAI style function calling?

Describe the typical agent execution loop.

Which of these are valid considerations when choosing a chunking strategy for RAG?

What is the primary purpose of embeddings in modern NLP?

Put the steps of a basic RAG query pipeline in order.