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graphile-pgvector

Official

GraphQL vector search integration

Software Engineering#embeddings#graphql#vector search#pgvector#postgraphile#grafast
Authorconstructive-io
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill enables seamless integration of the pgvector extension with PostGraphile v5, allowing you to expose vector embeddings and perform similarity searches directly within your GraphQL API.

Core Features & Use Cases

  • GraphQL Scalar for Vectors: Surfaces vector(n) columns as a Vector GraphQL scalar type.
  • Vector Search Fields: Automatically generates GraphQL query fields for similarity searches (cosine, L2, inner product).
  • Use Case: Building an AI-powered search feature for your application where users can find semantically similar documents or products based on their embeddings.

Quick Start

Use the graphile-pgvector skill to expose vector search capabilities for the 'documents' table in your GraphQL API.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: graphile-pgvector
Download link: https://github.com/constructive-io/constructive-skills/archive/main.zip#graphile-pgvector

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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