Embeddings

Build a practical semantic search system with Python and Sentence Transformers. Learn how text becomes embeddings, compare queries with documents, rank results by similarity, and turn the prototype into a reusable search component.

Understand the difference between RAG and fine-tuning, how each approach works, their advantages and limitations, and when developers should use one or combine both.