MaxKB - An open-source AI knowledge base question-answering system launched by Feizhi Cloud.

What is MaxKB?

MaxKB is an open-source AI knowledge base question-answering system launched by Feizhi Cloud. It offers out-of-the-box functionality, supporting document uploads, online document crawling, automatic text splitting, and vectorization. Users can quickly embed MaxKB into third-party business systems to enjoy the convenience of intelligent question answering. It is model-neutral and compatible with various large models, including local private and public models, making it suitable for enterprises to build knowledge bases and improve user satisfaction.

MaxKB's main functions

• Ready to use right out of the boxIt supports direct document uploads and automatic online document crawling, enabling automatic text splitting and vectorization, and providing an intelligent question-and-answer interactive experience.
• Model neutralIt can interface with a variety of large language models, whether they are local private models or domestic and foreign public models, such as Llama 3, Qwen 2, Tongyi Qianwen, OpenAI, etc.
• Flexible arrangementIt has a powerful built-in workflow engine that allows users to orchestrate AI workflows to adapt to the needs of different business scenarios.
• Seamless EmbeddingIt supports rapid embedding into third-party business systems with zero coding, enabling existing systems to quickly acquire intelligent question-answering capabilities.
• Multi-format supportSupports multiple document formats, including TXT, Markdown, PDF, DOCX, HTML, etc.

MaxKB's technical principles

• Large-scale pre-trained language models (LLM)MaxKB is a large-scale language model built using deep learning technology. The model has been trained on massive amounts of text data and has a high level of language understanding and generation capabilities.
• Automated document processingThe system can automatically parse and process user-uploaded documents, including text segmentation and vectorization, allowing the model to index and retrieve information more efficiently.
• Search Enhancement Generation (RAG) technologyMaxKB combines the advantages of retrieval systems and generative models, enhancing the language model's generative capabilities by retrieving relevant information, thereby providing more accurate and richer answers.
• Model neutralityThe design supports integration with multiple language models, including local private models and public models, ensuring the system's flexibility and scalability.
• Workflow engineThe built-in workflow engine allows users to customize and orchestrate AI workflows according to business needs, enabling automated and personalized intelligent question-and-answer services.
• Vector database applicationsBy employing vector database technologies, such as PostgreSQL/pgvector, document storage and retrieval efficiency are optimized, and system response speed is improved.
• Front-end and back-end separation architectureThe front-end uses Vue.js to build dynamic user interfaces, while the back-end uses the Python/Django framework to ensure system stability and maintainability.
• LangChain framework integrationMaxKB integrates the LangChain framework to effectively manage and coordinate different AI models and services.

MaxKB's project address

MaxKB Application Scenarios

• Enterprise Knowledge BaseIt provides enterprises with an internal knowledge Q&A system to help employees quickly find information and improve work efficiency.
• Customer ServiceAs a smart assistant for customer support, it automatically answers frequently asked questions, reducing the workload of the customer service team.
• Education and TrainingUsed on online education platforms to provide student Q&A services and assist teachers in teaching.
• Product documentation supportIt can be integrated into the product documentation to provide users with immediate technical support and answers to questions.
• Market AnalysisAnalyze market data and trends to provide decision support for businesses.