Query with RAG

Performs a retrieval-augmented generation query against a specified knowledge base. The API retrieves the most relevant document chunks based on semantic similarity to the query, then uses them as context for a large language model to generate an accurate, grounded response. The response includes both the generated answer and the source document references used.