dRAGon-Okinawa/dRAGon
🏗️ FrameworkdRAGon-Okinawa
A nimble, Java-based RAG framework leveraging LangChain4j for efficient document retrieval and AI integration.
dRAGon (Dynamic Retrieval Augmented Generation for Optimized Nimble) is a specialized Java framework that streamlines the development of RAG-based applications. By utilizing LangChain4j, it bridges the gap between traditional Java enterprise architectures and modern generative AI capabilities. The project is built on a Spring Boot foundation, ensuring seamless integration with existing Java services and microservices. Key technical features include a containerized architecture via Docker, enabling consistent deployment across environments. It excels at parsing and indexing PDF documents, allowing for accurate context retrieval. The inclusion of a Vue.js frontend provides a ready-to-use interface for interacting with the RAG pipeline. The framework is designed for developers who require high performance and reliability, offering a structured approach to managing vector databases, embedding models, and LLM orchestration within a strictly typed, compiled language environment.
💡Highlights
- ├─Built on LangChain4j & Spring Boot
- ├─Containerized with Docker support
- └─Optimized for PDF RAG workflows
🎯For
- ├─Java Developers
- └─Enterprise Software Architects