A customer support chatbot consistently hallucinates product specifications. The team maintains a well-structured product catalog Delta table. Which design change most directly addresses the hallucination problem?

Question

Accepted Answer

C. Implement a RAG pipeline that retrieves product specifications from a Vector Search index built on the catalog, and instruct the LLM in the system prompt to answer only from the retrieved context.. Hallucinations about factual product details occur when the LLM relies on memorized parametric knowledge instead of authoritative data. Implementing RAG grounded on the maintained product catalog, combined with explicit system prompt instructions to "answer only from the provided documents," directly constrains the model to factual information and is the primary mitigation pattern for factual hallucination in enterprise chatbots.

A customer support chatbot consistently hallucinates product specifications. The team maintains a well-structured product catalog Delta table. Which design change most directly addresses the hallucination problem?

Related Questions

Discussion