Why, When and How to Fine-Tune a Custom Embedding Model

Fine-tuning embedding models can significantly improve retrieval performance for domain-specific AI systems when off-the-shelf models fail to capture specialized knowledge. This process requires careful consideration of the base model, dataset preparation, and evaluation metrics, but can yield better results with potentially lower costs and latency compared to larger general-purpose models.