Planning with files is an enterprise knowledge graph platform designed to transform unstructured organizational data into a searchable, interconnected network. By utilizing a graph-based retrieval-augmented generation engine, the system grounds language model outputs in verified internal data, ensuring that responses are explainable, traceable, and free from hallucinations.
The platform distinguishes itself through a focus on data sovereignty and secure, private infrastructure deployment. It enables organizations to maintain full control over sensitive information by processing data locally or within regional cloud environments, preventing the use of internal knowledge for external model training. The architecture supports granular security through attribute-based access control and allows for the isolation of knowledge into distinct, domain-specific workspaces while maintaining a unified semantic logic across the entire organization.
Beyond core retrieval, the system provides a comprehensive suite of tools for managing the data lifecycle, including automated business workflow execution and audit-ready event logging. It facilitates collective intelligence by aggregating expert experience and project documentation into a centralized repository, which can be analyzed to identify infrastructure dependencies and optimize operational efficiency.
The project is implemented in Python and is designed for deployment within customer-managed infrastructure to meet strict regulatory compliance and data governance requirements.
