Self-hosted Community edition available. Vector search uses scoped indexes enabling per-collection vector configurations. Supports similarity search with metadata filtering in single queries. Key advantage: operational data and vector embeddings in same database with ACID transactions. Features include automatic index management, multi-modal search (text + vector), and global distribution through Couchbase’s mobile/edge replication. For AI applications: store documents, embeddings, and operational data together with consistent queries. N1QL (SQL-like query language) supports vector operations alongside traditional queries.
Couchbase Vector Search
Couchbase provides native vector search integrated with its distributed document database, enabling combined operational and AI workloads. Couchbase Capella (cloud) offers developer tier free; Enterprise pricing based on nodes and capacity.
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