#contextual-understanding

#contextual-understanding

Modern AI needs more than raw data. It needs context that evolves as new sources appear and applications multiply. This context is reflected in four practical capabilities essential for any robust metadata infrastructure: discover, understand, trust, and use. Discover means navigating billions of objects without tedious manual work. A modern metadata system automates metadata harvesting across diverse data stores, lakes, and third-party databases.

RAG technology is powerful for AI applications but encounters challenges like full-text indexing limitations and chunk size constraints, affecting retrieval accuracy and context retention.