AI engineering glossary · RAG vector search
What is domain adaptation of embeddings?
Domain adaptation of embeddings: Improving an embedding model for a specialised field, such as law or medicine, by further training on in-domain text or query-passage pairs. It helps when general models do not separate specialist terms well.
Domain adaptation of embeddings: an example
A model fine-tuned on 20,000 Indian legal query-passage pairs retrieves case-law paragraphs more accurately.
Related terms
More RAG vector search terms
- efConstruction
- efSearch
- Embedding
- Embedding cache
- Embedding drift
- Exact nearest neighbour search
- FAISS
- Faithfulness
Where you learn it
Domain adaptation of embeddings is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.