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Embedding models

Embedding models are available in Ollama, making it easy to generate vector embeddings for use in search and retrieval augmented generation (RAG) applications.

Ollama supports embedding models, making it possible to build retrieval augmented generation (RAG) applications that combine text prompts with existing documents or other data. The resulting vector embedding arrays can then be stored in a database, which will compare them as a way to search for data that is similar in meaning. This example walks through building a retrieval augmented generation (RAG) application using Ollama and embedding models.

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