Nature

Redefining text-to-SQL metrics by incorporating semantic and structural similarity

The rapid advancements in text-to-SQL systems have driven the scientific community to create increasingly complex benchmarks for this task. However, evaluation metrics often rely on simplistic or ...
Forbes

Text-To-SQL: Making Enterprise Data More Accessible To Users

While data warehouses and cloud-native architectures have grown rapidly, business users are still finding it difficult to reach enterprise data. Even as dashboards and query tools become easier to use ...
VentureBeat

Table-augmented generation shows promise for complex dataset querying, outperforms text-to-SQL

AI has transformed the way companies work and interact with data. A few years ago, teams had to write SQL queries and code to extract useful information from large swathes of data. Today, all they ...
InfoWorld

How to use GPT as a natural language to SQL query engine

Thanks to the technology behind ChatGPT, it’s become surprisingly simple to query a data set in plain English. As with most generative AI, results from OpenAI’s API are still imperfect, which means ...
Nature

A case study using sewage metagenomic data for assessment of text-to-SQL capabilities in large language models

Relational databases offer an efficient solution for storing and retrieving complex data sets, yet the requirement for SQL programming expertise presents a significant challenge for many life science ...

SQL query logs hold the context AI agents need to stop hallucinating joins

DataHub's Context Intelligence mines validated SQL query history to build a semantic index for AI agents. At Miro, agents hit a 65% error rate without it.