As AI workloads become standard in modern applications, engineering teams face a familiar dilemma: MySQL is already the system of record, but vector search typically requires bolting on a separate database. MyVector and ProxySQL solve this without fragmenting your data stack.

From Concepts to Production: Real-World Patterns, Query Plans, and What’s Next

In Part I, we introduced scoped vector search in MySQL using the MyVector plugin, focusing on how semantic similarity and SQL filtering work together.

In Part II, we explored schema design, embedding strategies, HNSW indexing, hybrid queries, and tuning — and closed with a promise to show real-world usage and execution behavior.

This final part completes the series.

Semantic Search with Explicit Scope

In real systems, semantic search is almost never global. Results must be filtered by tenant, user, or domain before ranking by …

We recently announced the availability of MySQL AI which enables predictive and generative AI workflows for on-premise MySQL customers. MySQL AI includes built-in LLMs and embedding models that run on CPUs, a vector store, semantic search functions, automated machine learning and a graphical console called MySQL studio. Since its release there has been considerable interest […]

Retrieval-Augmented Generation (RAG) is a powerful technique that enhances the capabilities of Large Language Models (LLMs) for enterprise data. By grounding the model in information from your vector store/knowledge base, RAG helps produce more accurate, relevant, and trustworthy answers. MySQL HeatWave is a fully managed MySQL database service that combines transactions, analytics, machine learning, and […]

Semantic Search with SQL Simplicity and Operational Control

Introduction

Vector search is redefining how we work with unstructured and semantic data. Until recently, integrating it into traditional relational databases like MySQL required external services, extra infrastructure, or awkward workarounds. That changes with the MyVector plugin — a native vector indexing and search extension purpose-built for MySQL.

Whether you’re enhancing search for user-generated content, improving recommendation systems, or building AI-driven assistants, MyVector makes it possible to store, index, and search vector embeddings directly inside MySQL — with full support for SQL syntax, indexing, and filtering.

What Is MyVector?

The MyVector plugin adds native support …