<ul data-eligibleForWebStory="true"><li>Embeddings are numerical vector representations of data, such as text, used for tasks like similarity search and clustering.</li><li>Spring AI offers an Embeddings Model API for integrating language model features into Spring Boot applications.</li><li>The API abstracts over embedding models from providers like OpenAI, Hugging Face, and Ollama.</li><li>It involves interfaces like EmbeddingModel, EmbeddingRequest, EmbeddingResponse, and Embedding to handle embeddings generation.</li><li>The article explains the project setup with Maven dependencies and configuration for Ollama embedding models.</li><li>A service class and REST controller are demonstrated to generate and expose embeddings through Spring Boot.</li><li>Sample request and response structure using the API are provided for testing the embedding service.</li><li>The article concludes by highlighting the ease of integrating embeddings in applications using Spring AI.</li><li>The content also includes a summary of output meanings and encourages further skill development in Java.</li><li>The article is eligible for web story generation.</li></ul>

How to Use Embeddings Model API in Spring AI

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