Spring AI - Parallelization Workflow Pattern

This repository demonstrates the Spring AI Parallelization Workflow Pattern, a powerful technique for executing multiple independent LLM tasks concurrently to improve throughput and efficiency in your Java applications.

📖 Dive Deeper: For a complete walkthrough, detailed explanations of the Parallelization Workflow pattern, and step-by-step instructions for the example application, read our blog post.
👉 Spring AI Parallelization Workflow: Efficient Concurrent LLM Processing

🎥 Visual Learning: Prefer video tutorials? Watch our step-by-step implementation guide on YouTube.
👉 Spring AI Parallelization Workflow: Efficient Concurrent LLM Processing

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📦 Environment Variables

Make sure to provide these Java environment variables when running the application:

• GEMINI_API_KEY: Your Google Gemini API key.

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About This Project

This project implements a News Summarization System as a real-world example of the Spring AI Parallelization Workflow. It showcases how to:

• Set up a Spring Boot application with Spring AI.
• Configure Spring AI to use Google Gemini (or other LLMs).
• Implement the ParallelizationWorkflow to process multiple news articles concurrently.
• Send multiple independent summarization requests to an LLM in parallel.
• Aggregate the results.
• Use Logbook to observe and verify parallel HTTP calls to the LLM.