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Oracle AI Database 26ai vector index comparison showing HNSW graph layers and IVF partition clusters for semantic similarity search

Vector Indexes in Oracle AI Database 26ai — How HNSW and IVF Work Under the Hood

Posted on by Sanjeeva Kumar

In Post -2 of this series, We had a vector search query running clean in development — ten milliseconds, HNSW index in the plan, results looking right. The moment the same query hit a table with eight million rows in staging, response time jumped to forty seconds. The execution plan had quietly switched to TABLE Read more about Vector Indexes in Oracle AI Database 26ai — How HNSW and IVF Work Under the Hood[…]

Oracle Vector Search: Your First Hands-On Walkthrough

Posted on by Sanjeeva Kumar

In Post 1 we established the architecture — Oracle 23ai puts vector search inside the database engine, not in a separate system. We titled that post using “23ai” deliberately — because that is the name most production DBAs are still searching for, still referencing in upgrade discussions. Since then, Oracle announced Oracle AI Database 26ai Read more about Oracle Vector Search: Your First Hands-On Walkthrough[…]