PowerMind RAGBot Overview
PowerMind RAGBot is the knowledge-chat app in PowerMind AI Studio. You put documents into a repository, then ask questions in plain English. Answers come from those files (RAG: retrieval-augmented generation).
It lives under AIaaS in the Studio marketplace, next to DocRead, Transcribe, Predict, and VisionID.
Who this guide is for
| You | What you will do |
|---|---|
| Business user | Log in, create a repository, upload files, chat, review past conversations |
| Team lead | Check Dashboard and Reports (storage, chats, who used what) |
| Admin | Review Audit Logs, users, and quotas |
| Integrator | Call the REST API / Swagger if you are wiring another system |
What you see in the product
After you open RAGBot, seven tabs run left to right:
| Tab | What it is |
|---|---|
| Dashboard | Counts: repositories, documents, vectors, chats, storage |
| Knowledge Repositories | Create and delete collections of files |
| Documents | Upload & index files into a repository |
| Chat Workspace | Ask questions against one repository |
| Conversations | History of questions and answers (search / export) |
| Reports | Usage by repository, document, and user (PDF / Excel / CSV) |
| Audit Logs | Who did what, with user UUID, action, and IP |
How it works (simple)
flowchart LR
A[Sign in to Studio] --> B[Open RAGBot]
B --> C[Create a repository]
C --> D[Upload documents]
D --> E[Chat Workspace]
E --> F[Answers from your files]- Files are split into chunks and stored as vectors.
- Your question is matched to the closest chunks.
- The chat model writes an answer from that context.
You only see your repositories and documents. Admins see usage and audit, not other people’s file contents in the user APIs.
Where to go next
- Getting Started — first login to first answer
- Web UI — every screen with screenshots
- How it works — the full day-to-day flow