Embed
Embed is Cohere's powerful text embedding model that transforms text into high-dimensional numerical vectors, enabling semantic search, similarity matching, and advanced information retrieval capabilities.
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Key Features:
- High-Quality Embeddings: Dense vector representations that capture semantic meaning
- Multilingual Support: Embeddings for text in multiple languages
- Scalable Architecture: Efficient processing of large text corpora
- Domain Adaptation: Fine-tuning for specific domains and use cases
- Batch Processing: Efficient embedding generation for large datasets
Use Cases:
- Semantic Search: Find relevant documents based on meaning, not just keywords
- Recommendation Systems: Content and product recommendations
- Document Clustering: Automatic grouping of similar documents
- Duplicate Detection: Identify similar or duplicate content
- Question Answering: Retrieve relevant passages for Q&A systems
- Content Moderation: Identify inappropriate or harmful content
Technical Capabilities:
- Multiple embedding dimensions available
- Real-time and batch processing
- Integration with vector databases
- Custom fine-tuning options