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// Production RAG on Postgres with pgvector — embeddings, HNSW vs IVFFlat tuning, hybrid search, scaling.

pgvector RAG ProVerified Creator

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Stars
6.2k
Forks
341
Updated
Jun 24, 2026
repo --stat

  • stars

    6.2k

  • forks

    341

  • last update

    Jun 24, 2026

  • license

    MITv1.3.0

quickstart.sh
3 steps
  1. Install

    // Drops SKILL.md into ~/.claude/skills/

    $ claude skills add pgvector-postgres-rag
  2. Invoke

    // Run from any project directory

    $ claude --skill pgvector-postgres-rag "query last week's signups"
  3. Iterate

    // Re-run with edits — Claude keeps the skill loaded

    $ claude --skill pgvector-postgres-rag "now refactor it"
pgvector-postgres-rag/
references
SKILL.md
readonly
name:
pgvector RAG Pro
slug:
pgvector-postgres-rag
version:
v1.3.0
license:
MIT
author:
@pgvector-craft
repository:
github.com/pgvector-craft/pgvector-postgres-rag
categories:
SQLML / AI
tags:
#pgvector#rag#postgres#embeddings#hnsw
description:

Production RAG on Postgres with pgvector — embeddings, HNSW vs IVFFlat tuning, hybrid search, scaling.

features.md
3 capabilities

// What you can do with it

  • Automates the tedious parts of the workflow.
  • Gives Claude the right context, tools, and guardrails.
  • Produces consistent, reviewable output every time.

README.md

pgvector-postgres-rag/README.md
5 sections
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