How do you choose an embedding model for a RAG system?

Choose an embedding model based on language support, domain, dimension, cost, and licensing. Evaluate candidates on your actual data using metrics like recall at K and mean reciprocal rank. The MTEB leaderboard provides standardized benchmarks across many tasks. For production, also consider inference speed, batch efficiency, and whether you can self-host the model.