QommonsAI Equips Private Knowledge with a 'New Hierarchical Structure.' Systematizing Internal Government Documents with Up to 5 Levels of Folder Management and 3-Tier Role Permissions to Radically Change AI Response Accuracy
Polimill Inc. has launched a 'New Hierarchical Structure' for its government-focused generative AI 'QommonsAI.' It solves the data organization challenges in municipalities by enabling instant AI RAG deployment directly from existing folder structures without manual reclassification.
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- 📰 Published: April 2, 2026 at 22:04
- 🔍 Collected: April 2, 2026 at 13:34
- 🤖 AI Analyzed: April 21, 2026 at 06:31 (448h 57m after Collected)
Polimill Inc. (Minato-ku, Tokyo; Co-CEOs: Ayame Ito / Nonoka Taniguchi), a frontrunner in administrative AX, announces the launch of a "New Hierarchical Structure for Private Knowledge" in its generative AI for government, "QommonsAI," effective April 1, 2026.
## "We have knowledge, but we can't use it" — A common issue among local governments
In many municipalities, documents are scattered across different departments, and past knowledge remains buried and unutilized. Even when searched, the necessary information cannot be reached, and even if they want the AI to reference it, they do not know "which data to organize and how."
Even if knowledge is accumulated, if it is not organized, AI cannot demonstrate its power.
The design philosophy of the new hierarchical structure is to respond structurally to this fundamental problem of "inability to organize."
## Organize massive amounts of knowledge intuitively
The new private knowledge feature is a "drive/folder hierarchical" knowledge management infrastructure.
With a folder structure of up to 5 levels, internal government documents can be systematically organized by purpose, department, and task.
Three types of drives are provided, allowing for flexible use depending on the application.
## Transform internal folder structures directly into "Easy RAG"
One of the greatest features of the new hierarchical structure is the "Easy RAG" function.
By simply uploading documents accumulated on internal shared servers or file servers to private knowledge while maintaining the existing folder structure, the AI instantly turns them into high-performance RAG.
There is no need to rearrange folders or redo classifications.
"Just bring the existing folders from the office as they are."
## "We have knowledge, but we can't use it" — A common issue among local governments
In many municipalities, documents are scattered across different departments, and past knowledge remains buried and unutilized. Even when searched, the necessary information cannot be reached, and even if they want the AI to reference it, they do not know "which data to organize and how."
Even if knowledge is accumulated, if it is not organized, AI cannot demonstrate its power.
The design philosophy of the new hierarchical structure is to respond structurally to this fundamental problem of "inability to organize."
## Organize massive amounts of knowledge intuitively
The new private knowledge feature is a "drive/folder hierarchical" knowledge management infrastructure.
With a folder structure of up to 5 levels, internal government documents can be systematically organized by purpose, department, and task.
Three types of drives are provided, allowing for flexible use depending on the application.
## Transform internal folder structures directly into "Easy RAG"
One of the greatest features of the new hierarchical structure is the "Easy RAG" function.
By simply uploading documents accumulated on internal shared servers or file servers to private knowledge while maintaining the existing folder structure, the AI instantly turns them into high-performance RAG.
There is no need to rearrange folders or redo classifications.
"Just bring the existing folders from the office as they are."