The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...
Abstract: In big data analytics, graph problems are as important as machine learning. There exist many algorithms to analyze large graphs, but most of them are limited by the main memory. On the other ...
The SQLite of graph databases. Embedded, Cypher-native, zero infrastructure. SparrowDB is an embedded graph database. It links directly into your process — Rust, Python, Node.js, or Ruby — and gives ...
Abstract: This paper presents GoT4SQL-DA, a novel data augmentation and reasoning framework aimed at improving Text-to-SQL (T2SQL) performance in enterprise environments. GoT4SQL-DA addresses two key ...
GenAI adoption is accelerating across the enterprise, but business value is lagging behind. The limitation is not model intelligence, but missing context. Download this special report to learn how ...