SAGE: A Unified Algebra and Self-Adaptive Execution for AI Functions in SQL

arXiv:2608.20630 · cs.AI · Submitted 2026-08-21 · Read on arXiv

cs.AI

Submitted: 2026-08-21

Updated: 2026-08-21

Code: https://github.com/BerriAI/litel

Terminology

• Aggregation — 9× in this paper · explained in 1 episode
• Benchmark — 5× in this paper · explained in 2 episodes
• Core — 5× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Empirical Methods in Natural Language Processing — 3× in this paper
• Accuracy — 2× in this paper · explained in 1 episode
• Action Space — 2× in this paper · explained in 1 episode
• Provenance — 2× in this paper · explained in 3 episodes
• Pruning — 2× in this paper · explained in 4 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Self-Adaptive Generative Execution — 2× in this paper
• Trace — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Agentic Loop — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• Semantic Operators: A Declarative Model for Rich, AI-based Data Processing
• A Declarative System for Optimizing AI Workloads
• DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing
• Beyond Quacking: Deep Integration of Language Models and RAG into DuckDB
• FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
• RouteLLM: Learning to Route LLMs with Preference Data
• SemBench: A Benchmark for Semantic Query Processing Engines
• GLiClass: Generalist Lightweight Model for Sequence Classification Tasks
• X-Stance: A Multilingual Multi-Target Dataset for Stance Detection
• Towards Accurate and Efficient Document Analytics with Large Language Models
• gpt-oss-120b & gpt-oss-20b Model Card
• Sema: A High-performance System for LLM-based Semantic Query Processing
• Featurized-Decomposition Join: Low-Cost Semantic Joins with Guarantees

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