Explain the pattern of searching for small, granular chunks but feeding a larger "parent" context to the LLM. Why is this more accurate?

When would you use a "Manager Agent" to delegate tasks to "Worker Agents" rather than having one single agent do everything?

Why do we typically include a 10–20% overlap between text chunks? What happens to the retrieval quality if the overlap is zero?

Why would you index sentences but provide the surrounding paragraph as context?