A transformer is a deep neural network architecture which serves as the basis for LLMs. Transformers consist of various components and can be composed of encoders, decoders, and many "deep"neural network layers with many millions (or even billions) of parameters. They are typically trained on very large corpus of text like data on the Internet, and can be fine-tuned to perform a variety of NLP tasks. Our new retrieval model uses a transformer architecture but consists only of an encoder designed specifically for semantic search across a wide variety of domains.