SHSelfHostIndex

LiteLLM 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?
LI LiteLLM Unified proxy and gateway for 100+ LLM APIs VS TE Text Embeddings Inference Fast inference server for text embedding models
FeatureLiteLLMText Embeddings Inference
CategoryLocal LLM RunnersLocal LLM Runners
LicenseMITApache-2.0
LanguagePythonRust
Setup difficultyMediumMedium
Min. RAM1,024 MB2,048 MB
Deploymentdocker, kubernetes, bare-metaldocker
GitHub stars★ 55,843★ 4,985
First released20232023
ReplacesOpenRouterOpenAI Embeddings API

Why pick each one

Choose LiteLLM if…

  • Released under the MIT license
  • First-class Docker support for quick deployment
  • Kubernetes-ready with Helm charts available
  • Mature project with 55.8k GitHub stars
LiteLLM details

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
Text Embeddings Inference details

Frequently asked questions

Is LiteLLM or Text Embeddings Inference better?

Neither is universally better. LiteLLM has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.

Are LiteLLM and Text Embeddings Inference free and open-source?

Yes. LiteLLM is licensed under MIT and Text Embeddings Inference under Apache-2.0. Both can be self-hosted at no software cost.

Can I run LiteLLM and Text Embeddings Inference with Docker?

LiteLLM: yes. Text Embeddings Inference: yes.

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