product
Data quality: Editorially ReviewedSubscription
Retrieval & data layer
Vector Databases
Software & technology
Workflow orchestration
Self-hosted / on-premises
SaaS (vendor-hosted)
Retrieval & semantic search
Couchbase Vector Search
Vector Databases
Overview
Couchbase Vector Search provides vector similarity search capabilities natively integrated into the Couchbase NoSQL database. It supports HNSW indexing, hybrid search combining vector similarity with SQL++ queries, and real-time updates. Couchbase Vector Search enables AI applications to store embeddings alongside JSON documents with ACID transactions.
- Pricing model
- Subscription
- Deployment
- SaaS (vendor-hosted), Self-hosted / on-premises
- Regions served
- Global
- Categories
- Subscription, Retrieval & data layer, Vector Databases, Software & technology, Workflow orchestration, Self-hosted / on-premises, SaaS (vendor-hosted), Retrieval & semantic search
- Last updated
- 2 October 2026
- Published
- 2 October 2026
Use cases
Workflow orchestration
Deployment options
SaaS (vendor-hosted)
Self-hosted / on-premises
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
- couchbase.com
- Sources cited
- 2
- Last reviewed
- 28 September 2026
- Last updated
- 2 October 2026
Spotted something out of date?
Anyone can suggest a correction — you don't need an account. An editor checks every suggestion against the sources before the record changes.