head to head · open source
GPT4All vs RAGLight
GPT4All has 77,401 GitHub stars, 8,291 forks, 771 open issues and last shipped 1.3 years ago. RAGLight has 673 stars, 102 forks, 22 open issues and last shipped 16 days ago. GPT4All leads on adoption by 11,401% (77,401 vs 673 stars). GPT4All is written in C++ under MIT; RAGLight is written in Python under MIT. GPT4All has attracted 11% as many forks as stars, RAGLight 15%. RAGLight was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| GPT4All | RAGLight | |
|---|---|---|
| GitHub stars | ★ 77K | ★ 673 |
| License | MIT | MIT |
| Written in | C++ | Python |
| Last push | 2025-05-27 | 2026-09-02 |
| Forks | ⑂ 8.3K | ⑂ 102 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick GPT4All if
- You weight community size — 77K stars and counting
- You want the MIT license terms
- Your stack matches C++
- You value the larger contributor base for long-term maintenance
pick RAGLight if
- You want the RAGLight feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and RAGLight fits your workflow better
About GPT4All
GPT4All is an MIT licensed C++ chat application and Python client from Nomic that runs large language models privately on everyday desktops and laptops, built for developers and teams who want local inference without API calls, GPUs, or sending data off device.
read the full GPT4All overview →
About RAGLight
RAGLight RAGLight is a lightweight and modular Python library for implementing Retrieval Augmented Generation (RAG) . It enhances the capabilities of Large Language Models (LLMs) by combining document retrieval with natural language inference. Designed for simplicity and flexibility, RAGLight provides modular components to easily integrate various LLMs, embeddings, and vector stores, making it an ideal tool for building context aware AI solutions. 📚 Table of Contents Requirements Features Import library Chat with Your Documents Instantly With CLI Ignore Folders Feature Ignore Folders in Configuration Classes Dep…
read the full RAGLight overview →
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Frequently asked questions
Is GPT4All or RAGLight more popular?
GPT4All has 77,401 GitHub stars and RAGLight has 673. GPT4All has the larger community by that measure.
Are GPT4All and RAGLight free?
Both are open source. GPT4All is licensed under MIT and RAGLight under MIT. Neither carries a licence fee.
What is the difference between GPT4All and RAGLight?
GPT4All is written in C++ and RAGLight in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, GPT4All or RAGLight?
Choose GPT4All if you want the larger community (77,401 stars) or its MIT licence terms. Choose RAGLight if its feature set, stack or MIT licence fits better. Both are self-hostable.