AI & ML Research 24 Hours

Last updated: June 21, 2026, 2:30 PM ET

Data Engineering & AI Infrastructure

Engineers are reconstructing PDF hierarchies by mapping page-level alignments to restore missing tables of contents, a necessary step for RAG systems to accurately scope document retrieval by section. This structural recovery complements optimizing self-service date tables, where moving logic upstream from DAX to the semantic layer improves performance for enterprise BI environments.

Agentic Workflows

Modern LLMs leverage tool calling to bridge the gap between static text generation and real-world execution. By standardizing how models interpret function signatures, developers enable agents to transition from simple data retrieval to autonomous action, effectively turning natural language queries into verified API requests. This framework provides the logic required for agents to determine which external resource to invoke when the training data proves insufficient for a specific task.