ankane/informers
Fast transformer inference for Ruby
This project helps Ruby developers integrate state-of-the-art AI models directly into their applications. It takes plain text, sentences, or documents as input and outputs numerical representations (embeddings) or ranked lists of documents based on relevance. Ruby developers who need fast, efficient text processing for tasks like search or recommendation will find this valuable.
599 stars. Actively maintained with 2 commits in the last 30 days.
Use this if you are a Ruby developer building applications that require fast, in-process embedding generation or reranking for text-based data using transformer models.
Not ideal if you need to use non-ONNX transformer models or if your primary development language is not Ruby.
Stars
599
Forks
18
Language
Ruby
License
Apache-2.0
Category
Last pushed
Jan 09, 2026
Commits (30d)
2
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