Jina Embeddings
embedding model
Embedding models specialized in long documents
Supported languages
Jina Embeddings is a family of models developed by Jina AI, specialized in handling long texts with contexts up to 8192 tokens. It offers bilingual and multimodal models, being especially useful for RAG with extensive documents.
Concepts
long-contextlate-chunkingmultimodal-embeddingbilingual-modelsdocument-embedding
Pros and Cons
Ventajas
- + Long context of 8192 tokens
- + Bilingual models (English-German)
- + Multimodal version (text + images)
- + Open source with API available
- + Optimized for long documents
- + Good MTEB performance
Desventajas
- - Less known than BGE or OpenAI
- - Smaller ecosystem
- - Paid API for high volume
- - Fewer specialized models
Casos de Uso
- RAG with extensive documents
- Full article embedding
- Multimodal search (text + image)
- English-German bilingual systems
- Long PDF processing