RAG Web UI is a professional solution that applies Retrieval Augmented Generation (RAG) technology to document Q&A system. The system realizes intelligent Q&A services for knowledge base content by combining document retrieval and large language modeling.RAG technology is the core of the system, which not only retains the efficient information acquisition capability of traditional information retrieval systems, but also has the content creation advantage of generative AI. The system adopts a front-end and back-end separation architecture, is equipped with a high-performance vector database, and supports distributed file storage, all of which ensure stability and responsiveness when dealing with large-scale knowledge bases. Compared to a purely generative AI system, RAG Web UI significantly improves the accuracy and interpretability of the answers by obtaining document content as the basis for generation through retrieval technology.
RAG Web UI is especially suitable for building private knowledge base Q&A systems, allowing enterprises and individuals to rapidly deploy intelligent Q&A services based on their own proprietary document libraries.
This answer comes from the articleRAG Web UI: Building an Intelligent Documentation Q&A System and Simply Building a Private Web-Side Knowledge BaseThe
