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Pneuma: Leveraging LLMs for Tabular Data Representation and Retrieval in an End-to-End System

Summary: Pneuma is an end-to-end RAG system using LLMs to represent and retrieve tabular data, preserving schema and row context for accurate discovery. Evaluated on six real-world datasets, it outperforms full-text search and state-of-the-art RAG in accuracy and efficiency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7256
Venue
SIGMOD
Year
2025
Pagerank
5.1534752e-05
Overall Rank
6,217 | 56.76%
DOI
10.1145/3725337

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