Is Text Embeddings Inference Safe?
Text Embeddings Inference — Nerq Trust Score 55.5/100 (C grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-22
Text Embeddings Inference is a Homebrew formula with a Nerq Trust Score of 55.5/100 (C), based on 3 independent data dimensions. Last analyzed: 2026-03-22 Security: 90/100. Popularity: 15/100. Data sourced from Homebrew formulae database and GitHub (homebrew-core). Last updated: 2026-03-22. Machine-readable data (JSON).
Is Text Embeddings Inference safe?
Trust Score Breakdown — Text Embeddings Inference has a Nerq Trust Score of 55.5/100 (C). Measured across 2 independent trust signals (as of 2026-03-22).
What is Text Embeddings Inference's trust score?
Text Embeddings Inference has a Nerq Trust Score of 55.5/100, earning a C grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Text Embeddings Inference?
Text Embeddings Inference's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Text Embeddings Inference and who maintains it?
| Author | Unknown |
| Category | Homebrew |
| Source | N/A |
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Safety Guide: Text Embeddings Inference
What is Text Embeddings Inference?
Text Embeddings Inference is a Homebrew formula — Blazing fast inference solution for text embeddings models.
How to Verify Safety
Homebrew formulas are community-reviewed. Check formulae.brew.sh.
You can also check the trust score via API: GET /v1/preflight?target=text-embeddings-inference
Key Safety Concerns for Homebrew formula
When evaluating any Homebrew formula, watch for: source build integrity, dependency chain.
Measured Signals
Text Embeddings Inference has a Nerq Trust Score of 56/100 (C). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Text Embeddings Inference has a Trust Score of 56/100 (C).
- The score is a measured composite — it is not a suitability judgment. Evaluate the individual signals against your own requirements.
- Query the current measured values via the Nerq API.
Frequently Asked Questions
Is Text Embeddings Inference Safe?
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Is Text Embeddings Inference actively maintained?
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Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.