In this tutorial, we build a production-ready agentic workflow that prioritizes reliability over best-effort generation by enforcing strict, typed outputs at every step. We use PydanticAI to define ...

In this tutorial, we build an advanced, end-to-end learning pipeline around Atomic-Agents by wiring together typed agent interfaces, structured prompting, and a compact retrieval layer that grounds ...

Existem várias ferramentas de IA e assistentes inteligentes que ajudam a criar diagramas de esquemas (schemas) para planejamento de sistemas, como bancos de dados, arquitetura de software e fluxos de ...

Abstract: This paper introduces G-SQL, a schema-aware and rule-guided framework for translating Natural Language Queries (NLQ) into SQL, designed to support users with limited technical expertise.

Microsoft is making it easier to migrate to Azure SQL by taking the grunt work out of schema setup. A new update to Azure Database Migration Service (DMS) introduces a built-in schema migration tool ...

Imagine this: you’re in the middle of an important project, juggling deadlines, and collaborating with a team scattered across time zones. Suddenly, your computer crashes, and hours of work vanish in ...

Schema markup is a powerful tool for boosting your website’s SEO, yet many site owners overlook its potential. This comprehensive guide offers practical, real-world examples of how to effectively ...

Organizations are using generative AI to stay ahead of the competition, but the real advantage lies in harnessing the power of your own data securely and at scale. One of the most exciting new ...

Not urgent, and can be simplified by a future addition to Caqti. It can be useful to store SQL code for schemas in external files, rather than including it in the application code, esp. when it ...