https://genai.gitpull.in/4-embedding-and-vectors/4.1-custom-embeddings/index.html Custom Embeddings: Why, When, and How? Why Would You Need Custom Embeddings? Pre-trained embeddings (like OpenAI’s text-embedding-ada-002 or SentenceTransformers) work well in most cases. However, custom embeddings are necessary when: Domain-Specific Knowledge If you’re working with medical, legal, finance, or technical text, general-purpose embeddings may not capture key relationships. Example: “BP” in general NLP models means “British Petroleum,” but in medicine, it means “Blood Pressure.” Multilingual Support Many embedding models are optimized for English, so custom training is needed for non-English or code-mixed languages (e.g., Hinglish). Fine-Tuned Retrieval & Search Hugo en-us