Genai
Using GenAI directly in the database. A practical example using MySQL 8.0
If you have a typical MySQL production setup using MySQL 8.0 (EOL) with replication, you can take advantage of VillageSQL extensions to generate AI responses directly with your source data with no impact on your production setup or existing application software.
Producing Skewness statistics with SQL
Skewness measures the asymmetry of a distribution. A perfectly symmetric distribution has a skewness of zero. A positive skew (right-skewed) means the tail extends to the right — a small number of high values pull the mean above the median.
Exploring the vsql-ai extension
The vsql-ai extension adds AI prompt capabilities and text embeddings directly in SQL queries, with support for Anthropic Claude , Google Gemini , OpenAI ChatGPT , or a local LLM such as Ollama .
Producing Chi-Squared statistics with SQL
The Chi-Squared test is one of the most widely used statistical tests for categorical data. It comes in two flavors: the goodness-of-fit test asks whether an observed frequency distribution matches an expected one, while the test of independence asks whether two categorical variables are associated with each other.
Producing Two Sample T-Test statistics with SQL
The two sample t-test for equal variance is a statistical test to determine if the means of two groups are different enough that the difference is likely caused by some underlying difference, rather than random chance.
Building your first VillageSQL Extension with AI skills
This is a technical walkthrough of the vsql-extension-builder recently released May 28 at Percona Live Bay Area 2026 and found at https://github.com/villagesql/villagesql-skills . Highlights Install VillageSQL pre-built binary first Install SDK with pre-built binary second Install the skill Run it with your AI tool The output can be found at https://github.
Why using production workloads over simulated workloads is critical
AI-Assisted SQL Tuning Last week in his keynote speech at Percona Live Bay Area 2026 , Andy Pavlo presented Databases: The Final Boss of Agents and provided some useful insights into query optimization of simulated workloads leveraging AI.