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The Private AI Services Container: Vector Embeddings That Never Leave Your Network
Who this is for: anyone whose security team has ever said “you can build semantic search, but nothing sensitive leaves this network to hit a third-party embeddings API,” and left you stuck doing keyword search instead. A healthcare client I worked with a while back wanted vector search over patient intake notes, the kind of…
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Aurora PostgreSQL 18 Upgrade Notes: B-Tree Skip Scans and What Actually Changed in Query Plans
Our monthly reconciliation query was tripping a 300-second timeout because the planner couldn’t use a composite index without a tenant_id predicate. Aurora PostgreSQL 18’s B-tree skip scans fixed it without touching the query, and here are the actual before and after plans.
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Select AI and Vector Search on a Legacy Oracle Schema: What It Actually Takes
Select AI and vector search work great on Oracle’s polished sample schemas. Production tables built over a decade tell a different story. Here’s what it actually took to get both working on ours, code included.
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Local HNSW Indexes in Oracle AI Database 26ai: Partitioned Vector Search Without the Global Graph Rebuild
Oracle AI Database 26ai’s April 2026 release update added local HNSW indexes: one vector graph per partition instead of one giant global graph. Here’s what that fixed for me, the CREATE INDEX syntax, and the gotchas the docs bury in the usage notes.
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DatabaseUnderstanding Oracle Database Background Processes and Their FunctionalityDatabase
Oracle Database is an advanced relational database management system (RDBMS) that utilizes multiple background processes to ensure efficient operation, transaction management, and system recovery.





