User Guide FAQ

Platform Overview & Access

What is this Data & AI platform and what can it do?

It’s a modular, cloud-native platform for managing data workflows, running AI (ML, DL, LLM) models, and building intelligent applications using Kubernetes.

How do I access the platform’s Web UI (Portal) ?

You can access it via your browser using the provided URL. Authentication is required.

Do I need technical skills to use the platform? No, the Web UI is designed for both technical and non-technical users, with guided workflows and visual tools.

Data Management (MinIO & Milvus)

Where is my data stored?

Depending on your data type (unstructured, structured, vectorized), your data is securely stored in MinIO, Clickhouse or Milvus.

Can I upload and manage files directly from the Web UI?

Yes, the Web UI (Portal) allows you to upload, organize, and manage files stored in MinIO.

What is Milvus used for?

Milvus is a vector database used to store and search embeddings, which are essential for AI tasks like semantic search and retrieval-augmented generation (RAG).

Workflows & Automation (Argo Workflows)

What are Argo Workflows?

Argo Workflows automate data and AI pipelines, allowing tasks to run in sequence or parallel across Kubernetes.

Can I create workflows without coding?

Yes, the platform provides tools such as Airbyte to build data pipelines. Pre-made Argo Workflows templates can also be reused to build your own custom workflow without writing code.

How do I monitor the progress of a workflow?

Workflow status and logs are available in the Web UIs of Argo Workflow and Grafana (monitoring tool), showing each step’s execution and results.

AI Capabilities (KubeAI, LLMs, RAG)

What is KubeAI and how does it help?

KubeAI manages AI models on Kubernetes, making it easy to deploy, scale, and serve models.

What are LLMs and how are they used here?

LLMs (Large Language Models) are used for tasks like text generation, summarization, and question answering.

What is RAG and why is it important?

RAG (Retrieval-Augmented Generation) combines LLMs with real-time data retrieval to generate more accurate and context-aware responses.

Can I use my own documents for AI search or Q&A?

Yes, you can upload documents into collections, which are then indexed and used by the RAG system to answer questions based on your content.

Security & Permissions

Is my data secure on the platform?

Yes, the platform uses Kubernetes-native security features, access controls (RBAC), and encrypted storage to ensure the highest possible level of security.

Can I control who sees or edits my data and workflows?

Yes, role-based access control (RBAC) is available to manage user permissions.

Troubleshooting & Support

Who do I contact for help or technical issues?

Use the support contact listed in the Web UI or reach out to your platform administrator.