Multi-Language Support
Reach global audiences with AI assistants that understand and respond fluently in over 100 languages.
Popular Languages
Plus 90+ more languages supported
The Challenge
β English-Only Systems:
- β’ Users must query in English
- β’ Non-English docs not searchable
- β’ Responses only in one language
- β’ Global users underserved
β With Multi-Language:
- β’ Query in any language
- β’ Search all content universally
- β’ Auto-translate responses
- β’ Serve global users natively
How It Works
Cross-lingual understanding without translation overhead
Auto-Detect Language
Automatically detect the user's language from their query and respond accordingly.
Cross-Lingual Search
Query in one language, find answers from documents in any supported language.
Response Translation
Automatically translate responses to the user's preferred language.
Multilingual Embeddings
Cohere multilingual embeddings for accurate semantic search across languages.
Use Cases
Global Support
Serve customers in their native language.
International Teams
Knowledge sharing across language barriers.
Content Localization
Query localized content accurately.
Regional Compliance
Language-specific legal and regulatory docs.
Comparison
True multilingual capability beyond basic translation
| Feature | RAG Engine | LangChain | LlamaIndex | Pinecone |
|---|---|---|---|---|
| 100+ languages supported | β | ~ | ~ | β |
| Auto language detection | β | β | β | β |
| Cross-lingual search | β | β | β | β |
| Multilingual embeddings | β | ~ | ~ | ~ |
| Response translation | β | β | β | β |
Works Great With
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