Add AI essentials like RAG and ML to dev workflow
Challenge
Building agentic applications requires a new workflow for RAG, prompt design, and validation – all while keeping data secure and results accurate.
Solution
The Couchbase AI Data Plane unifies operational data, vector search, and agent context on one platform. Run RAG next to your data, add persistent Agent Memory so agents retain context across sessions and restarts, and query billion-scale vector indexes with SQL++ for faster agentic pipelines.
Ensure security in agentic applications
Challenge
AI-powered apps often use sensitive data that demands robust security and compliance to protect data integrity and prevent unauthorized exposure.
Solution
Couchbase delivers enterprise-grade encryption, RBAC, and auditing, while the AI Data Plane keeps prompts, tools, traces, memory, and operational data in one governed layer you inspect with SQL++. Host private models like Llama 3 and Mistral, with user-level memory isolation and OIDC/OAuth2 for Agent Memory.
Integrate with AI tools
Challenge
Connecting AI frameworks and tools to your database is often complex, custom, and time-consuming work that slows agent development.
Solution
Couchbase works with LangGraph, CrewAI, LlamaIndex, LangChain, and Haystack, and the AI Data Plane adds an MCP Server for standardized data access plus Agent Catalog to manage tools, prompts, and end-to-end traces.
Manage the backend without slowing down
Challenge
A backend with separate systems for SQL, full-text, and vector search slows development and complicates high-performance search integration.
Solution
Couchbase unifies SQL++, key-value, caching, full-text, and billion-scale vector search in one platform, and the AI Data Plane keeps Agent Memory, MCP data access, and operational data on that same foundation. Running complex queries in one place speeds development, adds flexibility, and cuts infrastructure cost.
