Provides secure, role-based access to query company documents using Retrieval-Augmented Generation.
Sponsored
FinRAG is a sophisticated Role-Based Access Control (RBAC) Retrieval-Augmented Generation (RAG) system designed to enable secure and trusted querying of internal company documents. It ensures that employees, managers, and C-level executives only access information relevant to their roles, providing secure answers. By enriching documents with metadata and citations and integrating with Claude Desktop's Model Context Protocol, it delivers reliable responses with transparent sourcing, making it a flexible and practical solution for handling various document types from engineering reports to financial summaries.
Key Features
010 GitHub stars
02Optional Streamlit UI and FastAPI gateway for flexible deployment
03Seamless integration with Claude Desktop (MCP tools)
04Retrieval-Augmented Generation (RAG) with source citations
05Local Qdrant for efficient vector search
06Role-Based Access Control (RBAC) for secure information access
Use Cases
01Accessing engineering documentation and service lists tailored to engineering roles
02Securely querying HR policies and employee handbooks based on role
03Summarizing financial reports and revenue drivers for finance teams
