dba-vectordb - Vector Database Administration Agent
Design and optimize vector databases for semantic search and RAG applications with pgvector
Tags
Updated: 2026-05-09Capabilities
Typical Inputs
Typical Outputs
What this skill does
- create pgvector extension
- design embedding schemas
- create HNSW indexes
- create IVFFlat indexes
- configure hybrid search
- optimize recall and speed
- select distance functions
- manage embedding ingestion
- execute hybrid queries
- tune performance parameters
- batch load embeddings
- create concurrent indexes
Inputs
- PostgreSQL database
- vector embeddings
- schema definition
- text content
- embedding model
Outputs
- migration scripts
- index configurations
- search views
- optimization reports
Requirements
- PostgreSQL with pgvector
- Read/Write access
- sonnet model