public ChatController(ChatClient.Builder builder) {this.chatClient = builder.build();}
Spring AI in Action: A Deep Dive into Integrating Generative AI with Java spring ai in action pdf github link
Retrieval: Searching the vector database for relevant information based on a user's query. public ChatController(ChatClient
Document Ingestion: Loading your data (PDFs, text files, database records). Storage: Saving these vectors in a Vector Database
Embedding Generation: Converting data into numerical vectors using an Embedding Model. Storage: Saving these vectors in a Vector Database.
The most reliable source of truth is the official Spring AI documentation and its corresponding GitHub repository.
Spring AI is a project designed to streamline the integration of AI functionalities into Spring-based applications. It provides a high-level API that abstracts the complexities of interacting with various AI model providers, such as OpenAI, Azure OpenAI, Google Vertex AI, and Amazon Bedrock. Drawing inspiration from established Spring patterns like the Strategy pattern and the Template pattern, Spring AI offers a familiar and consistent development experience. Key Features of Spring AI