product
Data quality: Editorially ReviewedRetrieval & data layer
Vector Databases
Software & technology
Workflow orchestration
Self-hosted / on-premises
SaaS (vendor-hosted)
Retrieval & semantic search
Enterprise / custom quote
Oracle AI Vector Search
Vector Databases
Overview
Oracle AI Vector Search provides native vector similarity search capabilities inside Oracle Database, allowing storage and querying of vector embeddings alongside enterprise data. It supports multiple index types including HNSW and IVF, enables hybrid queries combining vector search with SQL, and integrates with Oracle's AI and ML ecosystem.
- Pricing model
- Enterprise / custom quote
- Deployment
- Self-hosted / on-premises, SaaS (vendor-hosted)
- Regions served
- Global
- Categories
- Retrieval & data layer, Vector Databases, Software & technology, Workflow orchestration, Self-hosted / on-premises, SaaS (vendor-hosted), Retrieval & semantic search, Enterprise / custom quote
- Last updated
- 2 October 2026
- Published
- 2 October 2026
Use cases
Workflow orchestration
Deployment options
Self-hosted / on-premises
SaaS (vendor-hosted)
Data sources & provenance
Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.
- Data quality
- Data quality: Editorially Reviewed
- Primary source
- oracle.com
- Sources cited
- 2
- Last reviewed
- 28 September 2026
- Last updated
- 2 October 2026
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