Parent document retrieval is a strategy where documents are split into small chunks for embedding and similarity search, but when a chunk matches, the system returns its parent — the original document, section, or a larger surrounding window. This gives the LLM enough context to generate coherent answers while still benefiting from the retrieval precision of small, focused embeddings.