Overview
Couchbase is an award-winning distributed NoSQL cloud database that delivers unmatched versatility, performance, scalability, and financial value for cloud, mobile, AI, and edge computing applications. It offers real-time performance, in-memory speed, and GenAI-ready search for scalable NoSQL applications.
Vector Search Capabilities
Couchbase 8.0 delivers high performance, high recall, and millisecond latency at billion scale – 350+ times faster than MongoDB.
Vector Indexing Options
- Hyperscale Vector Index: For billion-scale data ideal for RAG, agents, and recommendations applications
- Composite Vector Index: For search applications where prefiltering massive data is needed
- Three Indexing Options: Unique offering to match performance, recall, cost, and query needs
Features
- Semantic Search: Natural language processing for accurate results based on intent and context
- AI Framework Integration: Compatible with LangChain and popular AI frameworks
- Vector MCP Server: Available through unified Vector MCP Server supporting multiple databases
- Hybrid Search: Combine vector and lexical search for optimal retrieval
- Real-time Performance: In-memory speed for mission-critical applications
Use Cases
- Retrieval Augmented Generation (RAG) applications
- AI agent memory and context management
- Recommendation systems at scale
- Semantic search applications
- Real-time AI-powered analytics
Technical Specifications
- Billion-scale vector data support
- Millisecond latency at scale
- Multiple vector similarity metrics
- Metadata filtering capabilities
- Integration with embedding models
Pricing
Contact Couchbase for enterprise pricing. Free tier available for development.
