post
https://api.hrflow.ai/v1/text/embedding
Generate HR-native, cross-lingual vectors for texts to power SoTA HR-grade ML.
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Prerequisites
- ✨ Create a Workspace Set up your environment in the HrFlow.ai portal.
- 🔑 Get your API Key Retrieve your
API_KEYfrom the settings.- 🧠 Activate Text Embedding API Ensure the embedding service is enabled for your plan.
The Embedding API generates high-fidelity vectors for any HR-related text, such as job snippets, profile summaries, or search queries. Pretrained on 1.2B hiring decisions, these encoders allow for deterministic similarity scoring that remains stable across 43+ languages.
Results are deterministic: the same inputs will consistently return the same vectors.
1. Available Algorithms
Choose the right algorithm key based on your use case, data type, and precision needs.
| Algorithm Keys | Use Case | Status |
|---|---|---|
embedding-hyperion-4-cross-1024d | Optimized for Profile ↔ Job fit scoring using pairwise representation. | 🟢 Live |
embedding-hyperion-3-cross-1024d | Optimized for Profile ↔ Job fit scoring using pairwise representation. | 🟢 Live |
embedding-hyperion-2-dual-768d | Matching and Retrieval. Represents profiles and jobs in a shared space. | 🟡 Legacy |
embedding-hyperion-2-dual-128d | High-speed version for large-scale Matching and Retrieval. | 🟡 Legacy |
2. Request headers
| Field | Value |
|---|---|
Content-Type | application/json |
X-API-KEY | Your API Key. |
X-USER-EMAIL | Your HrFlow.ai account's email. |