We present a privacy-aware query generation approach that identifies sensitive information in the knowledge graph and masks it before sending anything to the LLM. Our experiments indicate that this preserves query quality while preventing sensitive data from leaving your system.
There are very few tools that focus on data modeling. Akwatype is your exception, helping you to structure your data modeling to communicate, describe your data flows and feed your development team
Would you like to automatically get a fully fledged backend (database, REST API, validators,…) from a single model? You’ve come to the right place
There was a time when I thought the ER language would slowly disappear. I was utterly wrong. I’m seeing a resurgence of the language and its tooling ecosystem.
We explore the benefits of using time-series databases to store models data. Thanks to this we can now query historical model information and perform advanced time-series analysis on it, especially useful when dealing with run-time models.
Code-generation from UML models to a number of SQL and NoSQL platforms. Including the possibility of running OCL queries on top of this combination of platforms.
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