Couchbase Vector Search

Overview

Couchbase provides enterprise-level vector search capabilities integrated into its NoSQL document database. Version 8.0 introduces significant enhancements for billion-scale vector search with flexible indexing.

Couchbase 8.0 Vector Features

Hyperscale Vector Index

• Powers searches across 1+ billion vector index records
• Scalable architecture for massive datasets
• Optimized performance at extreme scale

Composite Vector Index

• Enables searches across different data types
• Unified indexing for multi-modal data
• Flexible query capabilities

Search Vector Index

• Hybrid search combining vectors and traditional queries
• Full-text search integration
• Geo-spatial capabilities

Key Features

• Multi-Model Database: Documents, key-value, and vectors in one platform
• Distributed Architecture: Multi-node clusters for scale and availability
• Hybrid Search: Vectors + full-text + geo + structured queries
• Mobile Support: Couchbase Lite with vector search
• Edge to Cloud: Consistent experience across deployment models

Pricing

Couchbase Capella (Managed DBaaS)

Free Tier

• Get started with Capella for free
• Includes search functionalities (vector, full-text, geo)
• 1 node, 8GB memory
• Forum support

Basic Tier

• Starting at: $0.15/hour per node
• Vector search included
• Standard support

Advanced Tier

• Starting at: $0.35/hour per node
• Billion-scale vector search
• Flexible indexing
• 99.5% uptime SLA

Enterprise Tier

• Starting at: $0.49/hour per node
• Minimum 3-node cluster
• 99.99% uptime SLA
• Premium support

AI Services

Developer Pro AI

• Enhanced AI capabilities
• Starting at higher rate

Enterprise AI

• Starting at: $5.36/hour per node
• Agent Catalog access
• NVIDIA enterprise support
• Advanced AI features

Couchbase Server (Self-Managed)

• Community Edition: Free
• Enterprise Edition: Commercial licensing
• Perpetual or subscription models

Use Cases

• E-commerce product search and recommendations
• Content management with semantic search
• Mobile applications with offline AI
• User personalization at scale
• Multi-modal search applications
• Edge AI deployments

Technical Capabilities

• Multiple vector similarity metrics
• Real-time index updates
• Distributed query processing
• ACID transactions
• Mobile sync with vector data
• Multi-datacenter replication

SDK Support

• Java, .NET, Node.js, Python, Go, PHP
• Mobile SDKs (iOS, Android)
• REST API
• Query language (N1QL)

Deployment Options

Couchbase Capella

• Fully managed cloud service
• AWS, Azure, GCP
• Automatic scaling and updates

Couchbase Server

• On-premises deployment
• Private cloud
• Hybrid cloud architectures

Couchbase Lite

• Embedded database for mobile/edge
• Offline-first with sync
• Vector search on device

Integration

• LangChain vector store
• LlamaIndex support
• Major AI/ML frameworks
• Data pipelines and ETL tools

Performance

• Sub-millisecond queries for cached data
• Billion-scale vector search capability
• Horizontal scalability
• Multi-dimensional scaling (compute, storage, services)

Enterprise Features

• Multi-datacenter replication
• Cross-datacenter conflict resolution
• Role-based access control
• Encryption at rest and in transit
• Audit logging
• 24/7 support options