Reducing RAG Hallucinations With Relationship-Aware Retrieval (opens in new tab)

Retrieval-augmented generation (RAG) is now the default pattern for grounding large language models in private or domain-specific knowledge. Yet most RAG systems still hallucinate, and the cause is rarely the model itself. It is the retrieval step. A language model can only reason over the passages it is handed; when retrieval returns an incomplete or disconnected set of passages, the model quietly fills the gaps with plausible-sounding but unsupported text. The retrieval layer, in other word...