Enchanted vs Text Embeddings Inference
A side-by-side comparison of two self-hosted local llm runners options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
Enchanted
Native Ollama client for iOS and macOS
VS
Text Embeddings Inference
Fast inference server for text embedding models
| Feature | Enchanted | Text Embeddings Inference |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | Apache-2.0 | Apache-2.0 |
| Language | Swift | Rust |
| Setup difficulty | Easy | Medium |
| Min. RAM | 256 MB | 2,048 MB |
| Deployment | binary | docker |
| GitHub stars | ★ 5,983 | ★ 4,985 |
| First released | 2024 | 2023 |
| Replaces | ChatGPT | OpenAI Embeddings API |
Why pick each one
Choose Enchanted if…
- Released under the Apache-2.0 license
- Easy to set up — beginner-friendly
- Mature project with 6k GitHub stars
- Written in Swift
Choose Text Embeddings Inference if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Active community (5k GitHub stars)
- Written in Rust
Frequently asked questions
Is Enchanted or Text Embeddings Inference better?
Enchanted is the stronger all-round pick: it has both the larger community and the simpler easy setup. Consider Text Embeddings Inference if its specific feature set fits your needs better.
Are Enchanted and Text Embeddings Inference free and open-source?
Yes. Enchanted is licensed under Apache-2.0 and Text Embeddings Inference under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Enchanted and Text Embeddings Inference with Docker?
Enchanted: check the project docs for container support. Text Embeddings Inference: yes.