Skip to content

PowerMind RAGBot User Guide

This page is the full visual tour. Every screenshot is from the live Studio RAGBot UI.

Always check the project in the top bar (example: AI Project) so you are in the right workspace.


1. Sign in

Corporate username/email and password. Theme toggle is the sun icon, top right.

Login


2. Tool Marketplace (hub)

Left menu groups tools: MLOPS, DATAOPS, LLMOPS, AIAAS. RAGBot is under AIAAS. Filters at the top: All, MLOps, LLMOps, DataOps, AIaaS.

Cards show Available (Launch), External (Open Tool), or Not enabled.

Marketplace

Open RAGBot. Header: PowerMind RAGBot — Enterprise Knowledge Chat · RAG · AIaaS.


3. Dashboard

Tab: Dashboard. Breadcrumb: AI Studio > Tools > ragbot.

Dashboard

Knowledge Summary: Repositories, Documents, Total Vectors, Total Chats, Active Users, Storage Used.

Repository Statistics: average docs per repo, total file size, average vectors per document, largest repository.

Top Repositories by Usage: named repos with doc count, vectors, and a storage bar (example: green-dc, ipmplus).

Use this tab to see if data is loaded before you chat.


4. Knowledge Repositories

Tab: Knowledge Repositories. Breadcrumb: ... > ragbot > repositories.

Repositories

Column Meaning
Repository Name + UUID
Docs How many files
Chunks Indexed pieces
Storage Path of the vector store
Created Date
Actions Delete (trash)

+ New Repository creates an empty collection. Search repositories... filters the table.


5. Documents (upload & index)

Tab: Documents. Breadcrumb: ... > ragbot > documents.

Documents

  1. Select Repository.
  2. Choose File. Formats shown: PDF, DOCX, TXT, CSV, PPTX, MD.
  3. Upload & Index.
  4. Table: filename, id (#3), repository, format, size, chunks, uploaded date, delete.

Search documents... filters the list. If a file never appears, indexing failed (size limit, quota, or unsupported type).


6. Chat Workspace

Tab: Chat Workspace. Breadcrumb: ... > ragbot > chat.

Chat

Left - + New Chat - List of repositories (doc count), e.g. ipmplus (1 document), green-dc (1 document). Highlighted row is the active knowledge base.

Right - Repository dropdown (must match the left selection). - Trash icon for the current chat thread. - Messages: your question, then the bot answer from that repository’s files.

Example questions that work when the matching PDF/DOCX is indexed:

  • summarize ipm plus asset management?
  • what is the pue of vigyanlabs green DC?

Always select the repository that contains the file. Asking green-dc about an ipmplus document will not find that content.


7. Conversations (history)

Tab: Conversations. Breadcrumb: ... > ragbot > conversations.

Conversations

Column Meaning
Name The question you asked
Created Date and time
Last message Start of the bot answer

Search conversations... and Export are on the right of the toolbar.


8. Reports

Tab: Reports. Breadcrumb: ... > ragbot > Reports.

Reports

Export buttons: PDF, Excel, CSV.

Block What you see
Repository usage Docs, vectors, size per repo
Document usage Each file and size
Customer usage Per user: documents uploaded, chat queries, storage, plus a total row

This is the usage view (not the Studio “Users” admin page). Studio-wide users live under Administration → Users in the left menu.


9. Audit Logs

Tab: Audit Logs. Breadcrumb: ... > ragbot > Audit Logs.

Audit

Column Meaning
Timestamp When it happened
User ID User UUID (not the integer database id)
User Username (pmadmin, admin)
Action For example, sign-in or api.request
Resource What was touched (session, /api/v1/rag-resources)
Status success / failure
IP Client address

Search audit log..., All Actions filter, and Export. Rows with no user are probes or calls without a login token.


10. Swagger (API console)

For authorized integrators, open /docs on the assigned RAGBot API host. Select Authorize and use the Bearer token supplied for your integration.

Swagger

Details: API reference.


Back: How it works | Admin