How Data Scientists Build Natural Language Interfaces for Databases

In this episode, Lucas and Luna explore how data scientists are using large language models to let business users query databases with plain English. They dive into a real-world case from a hospital network that cut reporting time by 60% using a custom NL-to-SQL pipeline. The hosts discuss the architectural choices—smaller fine-tuned models vs. large APIs—and the critical guardrails needed to prevent hallucinated queries from corrupting production data. They also touch on cost management, caching strategies, and the open-source tools making this accessible. Perfect for data scientists considering LLM integrations or anyone curious about the future of data access. #DataScience #LLM #NaturalLanguageProcessing #TextToSQL #Database #MachineLearning #AI #DataEngineering #BusinessIntelligence #SemanticParsing #FineTuning #Guardrails #HealthcareAI #OpenSource #Technology #FexingoBusiness #BusinessPodcast #DataDriven Keep every episode free: buymeacoffee.com/fexingo