RAG System
Provides an intelligent knowledge base system for document processing, knowledge Q&A, and vector library management.
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The RAG System leverages a vector-retrieval based architecture to create an intelligent knowledge base, offering robust document processing across over 25 formats, semantic search, and smart Q&A capabilities. It features an intuitive web interface, supports multiple AI models like OpenAI and Doubao, and includes advanced filtering, statistical analysis, and local processing for data privacy, alongside comprehensive vector library management.
Características Principales
- Intelligent Knowledge Base with semantic search and smart Q&A
- Multi-format document processing (supports over 25 formats)
- Intuitive Bento-style web interface for all functionalities
- 3 GitHub stars
- Compatibility with multiple AI models (OpenAI, Doubao, Ollama)
- Vector library management with cache clearing and database optimization
Casos de Uso
- Building and managing a custom knowledge base from diverse document types.
- Answering complex queries and retrieving information based on proprietary data.
- Analyzing and optimizing vector databases for RAG applications.
Sponsored