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    0
    2025-03-31T16:57:56+00:00
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    RAG Web UI is an open-source AI retrieval system based on Retrieval-Augmented Generation (RAG) technology. It is designed to help developers build intelligent question-answering systems using their own knowledge bases. The system combines document retrieval with large language models (LLMs) to provide accurate and reliable knowledge-based responses. It supports multiple LLM deployment options, including cloud services like OpenAI and DeepSeek, as well as local model deployment via Ollama. RAG Web UI is suitable for scenarios such as customer service automation, enterprise knowledge management, and intelligent chatbots.

    0
    2025-03-31T16:58:05+00:00
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    RAG Web UI offers several key features:
    - **LLM Deployment Support**: Supports multiple large language models, including OpenAI, DeepSeek, and local deployment via Ollama.
    - **API Interface**: Provides OpenAPI for easy integration with knowledge bases.
    - **Vector Database Support**: Supports high-performance vector databases like ChromaDB and Qdrant, which can be easily switched using a factory pattern.
    - **Multi-modal Data Processing**: Supports various document formats such as PDF, DOCX, Markdown, and Text, enabling multi-modal data processing.
    - **Hybrid Search**: Combines vector retrieval with re-ranking mechanisms for efficient search.
    - **Knowledge Graph Construction**: Facilitates knowledge graph building through document management and retrieval.
    - **User Management**: Implements user authentication via JWT and OAuth2.

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