Comprehensive guide to choosing embedding models covering performance, cost, domain specialization, multilingual support, and trade-offs between general-purpose and specialized models.
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Embedding Model Selection Guide
Choosing the right embedding model impacts retrieval quality, costs, and system performance.
1. Performance (MTEB Score):
2. Cost:
3. Latency:
4. Context Length:
5. Dimensions:
General Purpose:
Domain-Specific:
Multilingual:
Long Context:
Best Overall: voyage-4, Cohere Embed v4 Best Open-Source: BGE-M3, jina-embeddings-v3 Best Budget: all-MiniLM-L6-v2, text-embedding-3-small Best Multimodal: voyage-multimodal-3.5
General RAG:
Code Search:
Multilingual:
Long Documents:
Budget-Conscious:
When to Fine-Tune:
When Not To:
(Per 1M tokens)
If changing models:
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