Covering the Unseen: Information Demand Coverage Optimization for Retrieval-Augmented Generation

Retrieval-augmented generation (RAG) typically treats context selection as ranking chunks against a single query embedding.

Retrieval-augmented generation (RAG) typically treats context selection as ranking chunks against a single query embedding. This assumption breaks down for complex queries, such as multi-hop or ambiguous questions, where top-k selection tends to over-cover one semantic aspect…