One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

AkasicDB integrates vector, graph, and relational stores within a single DBMS, and processes queries across the three data models as a single execution plan through an unified query planner and ...

Model Context Protocol (MCP) has gained considerable momentum as a standard connector between LLM-powered tools and local systems, internal and external APIs, and data sources. From major clouds to ...

The “Conversion failed when converting date and/or time from character string” error in SQL Server appears when SQL Server cannot interpret a text value as a ...

Why is the language developers and DBAs use to organize data such a mess? Here are 13 reasons we wish we could quit SQL, even though we probably won't. For all its popularity and success, SQL is a ...

Abstract: The Text-to-SQL task is to convert natural language queries into Structured Query Language (SQL) to achieve a natural language interface for database queries. The current research on Text-to ...

SQL-Mongo Converter is a lightweight Python library for converting SQL queries into MongoDB query dictionaries and converting MongoDB query dictionaries into SQL statements. It is designed for ...

Data Access Migration Toolkit (DAMT) is a VS Code extension that help users identify SQL code in application source code when migrating from one DB to another and identify SQL compatibility issues.

DataStax, an IBM company, provides integrated AI dev platforms that let you harness data in your app without building a complex tool stack. Interacting with databases often requires a level of ...

Abstract: Due to tremendous expansion in the banking, business, and IT sectors, data is growing at an exponential rate these days, and the majority of it is stored in relational databases. In order to ...