Embedding Model Selection Framework

As a Lead AI Engineer, help select the best embedding model for our use case.

## Use Case
{{use_case}}

## Data Characteristics
{{data_characteristics}}

## Constraints
- Max latency: {{max_latency}}ms
- Budget: {{monthly_budget}}
- Self-hosted: {{self_hosted}}

Evaluate models across dimensions:

**Quality Metrics**
- MTEB benchmark scores
- Domain-specific performance
- Multilingual support

**Performance Metrics**
- Embedding latency
- Throughput capacity
- Memory requirements

**Operational Metrics**
- API reliability
- Cost per 1M tokens
- Integration complexity

**Candidates to evaluate:**
- OpenAI embeddings (ada-002, 3-small, 3-large)
- Cohere embed v3
- Voyage AI
- Open source (BGE, E5, GTE)

Provide ranked recommendation with trade-off analysis.