---
title: "pgai"
description: "[pgai](https://github.com/timescale/pgai) is a suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL."
type: skill
canonical_url: https://claudary.paisolsolutions.com/skills/pgai
source: "Claudary"
difficulty: intermediate
author: "Claude Code Knowledge Pack"
date: 2026-07-10T11:31:58.508Z
license: CC-BY-4.0
attribution: "pgai — Claudary (https://claudary.paisolsolutions.com/skills/pgai)"
---

# pgai
[pgai](https://github.com/timescale/pgai) is a suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL.

## Overview

# pgai

[pgai](https://github.com/timescale/pgai) is a suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL.

If you don't know what pgai is yet check out the [README](https://github.com/timescale/pgai)!

If you're already familiar with pgai, you can find litellm specific docs here:
- Litellm for [model calling](https://github.com/timescale/pgai/blob/main/docs/model_calling/litellm.md) in pgai
- Use the [litellm provider](https://github.com/timescale/pgai/blob/main/docs/vectorizer/api-reference.md#aiembedding_litellm) to automatically create embeddings for your data via the pgai vectorizer.

---

Source: [Claudary](https://claudary.paisolsolutions.com/skills/pgai) · https://claudary.paisolsolutions.com