Ollama supports embedding models, making it possible to build retrieval augmented generation (RAG) applications that combine text prompts with existing documents or other data. What are embedding models? Embedding models are models that are trained specifically to generate vector embeddings: long arrays of numbers that represent semantic meaning for a given sequence of text: The resulting vector embedding arrays can then be stored in a database, which will compare them as a way to search for dat...