RAG Web UI

RAG Web UI

RAG Web UI is an intelligent dialogue system that leverages Retrieval-Augmented Generation (RAG) technology to build advanced Q&A systems based on your own knowledge base. By integrating document retrieval with large language models (LLMs), it provides accurate and reliable knowledge-based question answering services.

Key Features:

• Intelligent Document Management: Supports multiple document formats (PDF, DOCX, Markdown, Text) with automatic chunking and vectorization.
• Advanced Dialogue Engine: Enables precise retrieval and generation, supporting multi-turn contextual dialogue and reference citations.
• Robust Architecture: Features a frontend-backend separation design, distributed file storage, and high-performance vector databases like ChromaDB and Qdrant.
• Flexible Deployment Options: Supports cloud services (OpenAI, DeepSeek) and local model deployment (Ollama) to meet various privacy and cost requirements.
• OpenAPI Interfaces: Provides convenient access to the knowledge base via API calls.

Benefits:

• Optimized Performance: Designed for high efficiency with support for asynchronous document processing and real-time feedback.
• Community Contributions: Welcomes contributions from the community, fostering a collaborative development environment.
• Learning and Sharing: Aims to educate users about RAG technology and its applications in intelligent dialogue systems.

Highlights:

• Built with modern technologies including Docker, Node.js, Python, and TypeScript.
• Actively developed with a roadmap for future enhancements and features.