What is Hypothetical Document Embeddings (HyDE)? How does asking the LLM to "write a fake answer first" improve the search results?

How does the "Extraction, Transformation, and Loading" process differ when preparing data for a Vector Database versus a traditional SQL database?

How do you evaluate an agent when the "correct path" might involve 5 different tool calls in any order?

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