jina-embeddings-v2-base-es
| Property | Value |
|---|---|
| Parameter Count | 161M |
| License | Apache 2.0 |
| Max Sequence Length | 8192 tokens |
| Paper | Technical Report |
| Architecture | BERT with symmetric ALiBi |
What is jina-embeddings-v2-base-es?
jina-embeddings-v2-base-es is a powerful bilingual text embedding model specifically designed for Spanish and English content. Developed by Jina AI, it leverages a modified BERT architecture with symmetric bidirectional ALiBi to support impressive sequence lengths of up to 8192 tokens, making it particularly effective for long-form content processing.
Implementation Details
The model employs mean pooling as its primary mechanism for generating high-quality sentence embeddings. It has been extensively trained on both Spanish and English content, achieving strong performance in monolingual and cross-lingual applications without bias.
- Supports both Spanish and English text processing
- 8192 token sequence length capacity
- Optimized for RAG applications
- Implements symmetric bidirectional ALiBi attention
- Uses mean pooling for embedding generation
Core Capabilities
- High-performance bilingual text embeddings
- Long-sequence processing
- Cross-lingual semantic search
- Retrieval-Augmented Generation (RAG) support
- Sentence similarity computation
Frequently Asked Questions
Q: What makes this model unique?
The model's ability to handle both Spanish and English content without bias, combined with its extended sequence length of 8192 tokens and specialized ALiBi attention mechanism, makes it particularly valuable for bilingual applications and long-form content processing.
Q: What are the recommended use cases?
The model excels in bilingual document retrieval, semantic search, RAG applications, and cross-lingual content matching. It's particularly effective when working with mixed Spanish-English content or when building bilingual knowledge bases.
