This AI Paper Introduces TableRAG: A Hybrid SQL and Text Retrieval Framework for Multi-Hop Question Answering over Heterogeneous Documents

This AI Paper Introduces TableRAG: A Hybrid SQL and Text Retrieval Framework for Multi-Hop Question Answering over Heterogeneous Documents

Handling questions that involve both natural language and structured tables has become an essential task in building more intelligent and useful AI systems. These systems are often expected to process content that includes diverse data types, such as text mixed with numerical tables, which are commonly found in business documents, research papers, and public reports. Understanding such documents requires the AI to perform reasoning that spans bo…