Grounding

Flashcard: what does 'grounding' mean in the context of RAG, and why is it the whole point?

Select all techniques that meaningfully improve the reliability of source citations in a production RAG answer (chunks resolving back to real source documents).

Multiple users complain that your AI assistant 'ignores the documents I uploaded and just makes things up'. Before involving an ML engineer, which pipeline layer should you investigate first?

How does ReAct differ from pure chain-of-thought, and what does interleaving reasoning with acting provide?

What is the primary advantage of ReAct's Thought→Action→Observation loop over pure chain-of-thought on a multi-step research task?