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Universal Embedding Layer
The linguistic foundation for global AI expansion
Native semantic understanding of under-digitized languages. Powers RAG, classifiers, and agents across language families.
Features
What you get
Native nuance capture (no translation layer)
Ultra-low latency for real-time apps
Works across 23+ languages out of the box
Enterprise-grade security and privacy
Built on a fundamental discovery in linguistic structure
Simple REST API integration
Pricing: $0.08 per 1M tokens
Request
curl -X POST https://api.bhala.ai/v1/embed \
-H "Authorization: Bearer bh_sk_..." \
-H "Content-Type: application/json" \
-d '{
"input": "Sawubona, ngingakusiza kanjani?",
"model": "bantu-embed-v1",
"dimensions": 1024
}'Response
{
"object": "embedding",
"data": [
{
"index": 0,
"embedding": [0.0234, -0.0891, 0.1456, ...],
"dimensions": 1024
}
],
"model": "bantu-embed-v1",
"usage": {
"prompt_tokens": 8,
"total_tokens": 8
}
}Use Cases
What you can build with Universal Embedding Layer
Semantic search that understands local dialects
AI agents that feel native to the user
Automated document organization at scale
Hyper-accurate customer intent detection
Language Support
Supported languages
Purpose-built for the Bantu language family. More languages added continuously.
IsiZulu
12M+ speakers
IsiXhosa
8M+ speakers
Sepedi
5M+ speakers
Setswana
5M+ speakers
Sesotho
6M+ speakers
Xitsonga
4M+ speakers
IsiSwati
2.5M+ speakers
Tshivenda
1.3M+ speakers
Lingala
20M+ speakers
Tshiluba
6M+ speakers
Kikongo
5M+ speakers
KiSwahili
15M+ L1 speakers
Kinyarwanda
13M+ speakers
ChiShona
11M+ speakers
IsiNdebele
2M+ speakers
ChiTonga
1.5M+ speakers
Umbundu
6M+ speakers
Kimbundu
3M+ speakers
Kirundi
11M+ speakers
Chichewa
10M+ speakers
Bemba
4M+ speakers
Luganda
5.5M+ speakers
Lozi
725K+ speakers