This is a knowledge base Q&A system based on RAG (Retrieval-Augmented Generation) technology. It combines enterprise-internal documents, databases, and other proprietary knowledge with large language models, enabling AI to answer based on real, retrievable information sources and avoiding model hallucinations.

The system supports parsing and indexing of multiple document formats, providing vector retrieval, hybrid search, and other capabilities, seamlessly integrating with mainstream large models.

The project is primarily developed in Java, with high code quality and clear structure.

The development team maintains high-frequency updates, with 100 commits in the past week — the project is thriving.

The Xiaoyan AI R&D Assistant (xiaoyan-ai-dev-assistant) is a development-oriented intelligent assistant designed to help developers write code, search documentation, and manage projects more efficiently.

Java ⭐ 186 stars Score: 67.5