Set up pgvector for vector storage in PostgreSQL. Use when asked to "set up vector database", "configure pgvector", "create embedding tables", "set up semantic search", or when building RAG applications with PostgreSQL.
Quickly install pgvector-setup AI skill to your development environment via command line
Source: constructive-io/constructive-skills.
Set up PostgreSQL with pgvector for storing and querying vector embeddings. This is the foundation for building RAG (Retrieval-Augmented Generation) applications.
pgvector must be available in your PostgreSQL instance. Use one of these Docker images:
| pyramation/postgres:17 | PostgreSQL 17 with pgvector (recommended) | | ghcr.io/constructive-io/docker/postgres-plus:17 | PostgreSQL 17 with pgvector and additional extensions |
Set up pgvector for vector storage in PostgreSQL. Use when asked to "set up vector database", "configure pgvector", "create embedding tables", "set up semantic search", or when building RAG applications with PostgreSQL. Source: constructive-io/constructive-skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/constructive-io/constructive-skills --skill pgvector-setupSet up pgvector for vector storage in PostgreSQL. Use when asked to "set up vector database", "configure pgvector", "create embedding tables", "set up semantic search", or when building RAG applications with PostgreSQL. Source: constructive-io/constructive-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/constructive-io/constructive-skills --skill pgvector-setup Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/constructive-io/constructive-skills