关于
This intelligent AI assistant, built on a Retrieval-Augmented Generation (RAG) architecture, enables users to reliably query a vector base of AMDIE's internal documents. Its primary goal is to centralize knowledge from diverse file types like PDF and Excel, thereby reducing the workload on teams while ensuring that all responses are traceable, secure, and tailored to the user's specific role and access level.
主要功能
- Role-Based Access Control for Document Security
- 0 GitHub stars
- Centralized Knowledge Base from Heterogeneous Files (PDF, Excel)
- Advanced Query Processing with LangGraph and Specialized Agents
- Retrieval-Augmented Generation (RAG) Architecture
- Integrated User Authentication via Keycloak
使用案例
- Securely provide role-specific information to employees and administrators
- Rapidly retrieve information from internal AMDIE documents
- Automate responses to frequently asked questions from internal knowledge
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