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 …
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