ai4db

This is a continuously updated handbook for readers to easily track the latest Text-to-SQL techniques in the literature and provide practical guidance for researchers and practitioners.

Agentar-Scale-SQL is a novel framework that leverages scalable computation to significantly improve Text-to-SQL performance.

PilotScope is a middleware to bridge the gaps of deploying AI4DB (Artificial Intelligence for Databases) algorithms into actual database systems.

Paper related to OLAP database systems

Papers about training data quality management for ML models.

Paper related to AI4DB techniques

🎓 Automatically Update AI4Science Papers by Category Daily using Github Actions

EinsteinDB is a Hybrid memory system consisting of DRAM and Non-Volatile Memory configured to persist data fast.

Datasets Used in AI4DB Research Work

2022 VLDB Summer School

Current STAT Learning-based Cardinality Estimation Code Base

Balsa is a learned SQL query optimizer. It tailor optimizes your SQL queries to find the best execution plans for your hardware and engine.

SQLAgent is a natural-language analytics application for an ice cream shop database. A user submits a question, the agent retrieves the context needed to understand the database, generates SQL, validates and repairs the query, and returns a natural-language answer. When the result is suitable for visual analysis, the agent also returns a chart.

Join ordering optimization using Deep Reinforcement Learning

Graph Embedding for Query Performance Prediction (PVLDB Paper Code)

MSGE-SQL (Multi-Strategy Generation and Evaluation for SQL) is a novel framework designed to improve the robustness and accuracy of Text-to-SQL systems in real-world enterprise environments. By combining rich contextual information with multiple SQL generation strategies.

PilotScope is a middleware to bridge the gaps of deploying AI4DB (Artificial Intelligence for Databases) algorithms into actual database systems.