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 ...

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).

"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 ...