---
title: "raglite"
type: "tool"
slug: "superlinear-ai-raglite"
canonical_url: "https://www.graphcanon.com/tools/superlinear-ai-raglite"
github_url: "https://github.com/superlinear-ai/raglite"
homepage_url: null
stars: 1194
forks: 108
primary_language: "Python"
license: "MPL-2.0"
archived: false
categories: ["data-retrieval", "model-training"]
tags: ["chainlit", "colbert", "duckdb", "evals", "late-chunking", "late-interaction", "llm", "markdown"]
updated_at: "2026-07-12T01:13:12.231497+00:00"
---

# raglite

> Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL

RAGLite is a Python-based toolkit facilitating Retrieval-Augmented Generation using either DuckDB or PostgreSQL as backend databases.

## Facts

- Repository: https://github.com/superlinear-ai/raglite
- Stars: 1,194 · Forks: 108 · Open issues: 13 · Watchers: 13
- Primary language: Python
- License: MPL-2.0
- Last pushed: 2026-07-09T10:38:55+00:00

## Trust & health

_Signals computed from public GitHub metadata. Not a security guarantee._

- Maintenance: Very active (computed 2026-07-11T11:34:13.628Z)
- Security scan: No lockfile (0 critical, 0 high, 0 medium, 0 low) · last scan 2026-07-11T11:34:14.219Z
- Full report: [trust report](/tools/superlinear-ai-raglite/trust.md) · [JSON](https://www.graphcanon.com/api/graphcanon/tools/superlinear-ai-raglite/trust)

## Categories

- [Data & Retrieval](/categories/data-retrieval.md)
- [Model Training](/categories/model-training.md)

## Tags

chainlit, colbert, duckdb, evals, late-chunking, late-interaction, llm, markdown

## Category neighbours (exploratory)

_Same-category tools for discovery only - not curated alternatives. Cap shown at six._

- [ragflow](/tools/infiniflow-ragflow.md) - Retrieval-Augmented Generation engine with agent capabilities (★ 84,818) [Very active]
- [LightRAG](/tools/hkuds-lightrag.md) - [EMNLP2025] Simple and Fast Retrieval-Augmented Generation (★ 37,557) [Very active]
- [RAG_Techniques](/tools/nirdiamant-rag-techniques.md) - Showcases advanced techniques for Retrieval-Augmented Generation (RAG) systems with detailed notebook tutorials. (★ 28,465) [Active]
- [kotaemon](/tools/cinnamon-kotaemon.md) - An open-source RAG-based tool for chatting with your documents. (★ 25,534) [Steady]
- [pandas-ai](/tools/sinaptik-ai-pandas-ai.md) - Chat with your database or your datalake using LLMs and RAG. (★ 23,640) [Slowing]
- [databend](/tools/databendlabs-databend.md) - Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. — rebuilt from scratch. (★ 9,378) [Very active]

_+ 2 more not listed._

## Adoption goal

RAGLite offers specialized capabilities for integrating Retrieval-Augmented Generation (RAG) models with DuckDB or PostgreSQL.

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/superlinear-ai-raglite`](/api/graphcanon/tools/superlinear-ai-raglite)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_