PrivateGPT vs RAGStack
PrivateGPT
privategpt.devRAGStack
github.comSide by side
| Figure | PrivateGPT | RAGStack |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Retrieval-Augmented Generation Tools | 8.6 (#4) | 7.5 (#21) |
| Purpose | PrivateGPT provides an open-source API layer for building private AI applications on your own infrastructure. | RAGStack is a curated stack of open-source software for building production-ready retrieval-augmented generation applications. |
| Support | The maker links to a community Discord for users. | The documentation describes enterprise support and SLAs for RAGStack when running in Astra DB. |
Plans
In their own words
PrivateGPT
PrivateGPT is a free, open-source API layer for building private AI applications on your own infrastructure. It does not run models itself: it connects to a separate OpenAI-compatible inference server, which can be local or remote. The Messages API supports streaming, asynchronous processing, and token counting. Document workflows include file and artifact ingestion, retrieval with citations, and tools for querying databases and analyzing tabular data. The documented capabilities also include web search and extraction, code execution, custom tools, and MCP connectors. A browser workbench at `/ui` can be used for demos and inspecting API requests, but it stores chats and settings in browser localStorage and has no access control; the documentation describes it as a local demonstrator. PrivateGPT can be installed as a Python package, from source, or with Docker, and runs as a local server. Package installation requires Python 3.11; Python 3.10 and 3.12 or later are unsupported. Platforms include Linux, macOS, Windows, web, API, and self-hosted environments.