Slow and inefficient query generation from natural language inputs bottlenecks decision-making. This forces analysts and business users to rely heavily on data…
Slow and inefficient query generation from natural language inputs bottlenecks decision-making. This forces analysts and business users to rely heavily on data teams, delaying insights and limiting agility. Text-to-SQL is shifting how we interact with data, enabling users to query structured databases in natural language. This is especially useful when deploying a domain-specific model for…
