Spring AI's embeddings model API provides an abstraction layer for integrating text embedding capabilities into Java applications. The tutorial covers the core API components including EmbeddingModel, EmbeddingRequest, EmbeddingResponse, and Embedding classes. It demonstrates both auto-configuration and manual configuration approaches for integrating OpenAI's embedding models, showing how to convert text into high-dimensional vector representations that AI models can process for semantic understanding.
Table of contents
1. Overview2. Introduction to Embeddings3. Embedding Model APIs4. Integration With OpenAI5. Testing the Embedding Service6. ConclusionSort: