Couchbase AI Applications

A skill for designing AI-powered applications on Couchbase — RAG pipelines, vector search architecture, embedding strategies, and agent memory patterns. Covers the full stack from document design through embedding generation, index selection, retrieval, and LLM integration.

Distinct from:

• couchbase-fts — FTS index mechanics and query syntax (the lower-level how); this skill is about the application-level what and why
• couchbase-data-modeling — general document design; this skill covers AI-specific document patterns
• couchbase-app-integration — SDK patterns; this skill covers AI framework integration

If the conversation is "I'm building an AI feature / RAG pipeline / agent," this is the right skill.

When this skill applies