Basic Definition and Technical Core of RAG Web UI
RAG Web UI is an intelligent conversation system based on RAG (Retrieval Augmented Generation) technology, specifically designed to help companies and individuals build Q&A platforms based on private knowledge bases.
Technical realization principle: The system is made intelligent through a combination of the following two phases:
- retrieval stage: Rapid matching of user questions with knowledge base content using vector databases
- generation phase: Natural language processing of search results through Large Language Modeling (LLM)
Core featuresIncluded:
- Support for intelligent management of multiple document formats (PDF/DOCX/Markdown, etc.)
- High-performance semantic retrieval capabilities
- Modern architectural design with front-end and back-end separation
The system differs from ordinary search engines in that it not only looks up keywords, but also understands the semantics of the question and generates a complete answer that fits the context.
This answer comes from the articleRAG Web UI: Building an Intelligent Documentation Q&A System and Simply Building a Private Web-Side Knowledge BaseThe
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