LLMs for Data Access: Unlocking Insights with Text-to-SQL

Gunther Hagleither on How Generative AI is revolutionizing Data Analytics.

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Gunther Hagleither is co-founder of Waii, a startup that provides an API enabling businesses to seamlessly integrate text-to-SQL functionality into their products. This powerful tool facilitates no-code data analytics, streamlines database migrations, and optimizes workload performance, empowering companies to leverage their data more effectively and efficiently.

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This episode delves into the potential of text-to-SQL technology to revolutionize data interaction. By enabling users to query databases using natural language, these systems have the ability to make data accessible to a wider audience, including those without SQL expertise. This can empower data-driven decision-making across various roles and departments within an organization.

Interview highlights – key sections from the video version:

• 1. Why Text-to-SQL?
  2. Target Market and Use Cases
  3. Data and Schema Requirements
  4. Benchmarking and Accuracy
  5. Rollout Strategies
  6. Competition and Benchmarks
  7. Industry Adoption
  8. Real-World Capabilities and Prompting
  9. Challenges of SQL and System Benefits
  10. SQL Extensions and Dialects
  11. Query Optimization and Performance
  12. Beyond SQL: Other Query Languages
  13. Knowledge Graph and Architecture

 

Related content:

• A video version of this conversation is available on our YouTube channel.
• Semih Salihoglu: The Intersection of LLMs, Knowledge Graphs, and Query Generation
• Boosting RAG Systems with Knowledge Graphs: Early Insights
• Is Your Data Strategy Ready for Generative AI?
• Philipp Moritz and Goku Mohandas: Navigating the Nuances of Retrieval Augmented Generation
• Emil Eifrem: The Future of Graph Databases
• Juan Sequeda and Dean Allemang: Contextualizing Enterprise Data for More Accurate LLMs
• Jerry Liu: An Open Source Data Framework for LLMs

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