One of the bottlenecks in getting value out of generative AI is the difficulty in turning natural language into SQL queries. Without detailed contextual understanding of the data, the text is ...

SQL is the query language used for databases and it has been around in various forms for over 50 years. Existing large language models (LLMs) have text-to-SQL capabilities that can help users to ...

Datasparc showcased the new text-to-SQL capability at the recent PASS Data Community Summit, which took place last month in Seattle, Washington. “We are thrilled to share our latest advancements in AI ...

The Text-to-SQL solution can be applied in various domains, including finance, healthcare, and e-commerce, where users can query databases using natural language to gain insights from their data.

"App Orchid's groundbreaking milestone in text-to-SQL accuracy is a remarkable leap forward for AI-driven data accessibility," said Vaibhav Nadgauda, CEO, App Orchid. "Our 99.8% accuracy rate not ...

Currently, when a user asks natural language questions over custom data sources, two main approaches come into play: text-to-SQL or retrieval-augmented generation (RAG).

AtScale launches public leaderboard for Text-to-SQL, offering a standardized framework to enhance transparency, competition & collaboration in T2SQL.