Read PDFs, Markdown files, or database entries using DocumentReader .
: Supports multiple model types including Chat, Text-to-Image, Audio Transcription, and Embedding models.
: Protect endpoints against prompt injection attacks. Never map raw user input directly into system instruction parameters; sanitize text and run content moderation filters using dedicated APIs. spring ai in action pdf github
By Monday, the "Smart Portfolio" wasn't just a chatbot; it was an intelligent engine built entirely in Java. 3. The "Manual" is Born
Before Spring AI, integrating an LLM like OpenAI's GPT-4 or Anthropic's Claude into a Spring Boot application required writing custom REST clients, manually parsing JSON payloads, and handling tokenization by hand. Swapping from OpenAI to an on-premise model like Llama 3 meant rewriting major portions of the data access layer. Key Benefits Read PDFs, Markdown files, or database entries using
// Define a prompt template PromptTemplate promptTemplate = new PromptTemplate("What is the capital of country?");
When designing a production-grade template repository for Spring AI on GitHub, adherence to architectural patterns is critical. Below is the recommended multi-module project structure for scale: Never map raw user input directly into system
Converts text data into high-dimensional numerical vectors. These vectors capture the semantic meaning of text and are essential for similarity searches and Retrieval-Augmented Generation (RAG). Vector Stores
: A specific demonstration of Retrieval-Augmented Generation (RAG) using Spring AI with PDF documents as data sources. Key Resources & Blog Posts Reference Documentation : Currently, there is no official PDF download
: The absolute source of truth. Check out the spring-ai-samples directory inside the repository for excellent, maintained templates showcasing function calling, multi-model evaluation, and advanced RAG.