Solutions

AI-powered Platform

From server management and K8s workspace provisioning to RAG pipelines and AI data engineering agents — everything an enterprise AI operation needs, on a single platform.

Concept Diagram

Argus Insight Platform Architecture

Key strengths

01

All-in-one AI operations platform

Server management, MLOps, RAG, and AI agents unified on a single platform. Manage everything end-to-end from one console — no need to stitch together separate tools.

02

K8s-native workspaces

One-click deployment of Airflow, MLflow, MinIO, KServe, and Jupyter on Kubernetes via step-based workflows with automatic rollback on failure.

03

Built-in AI agent

A ReAct reasoning loop-based AI data engineering agent with 34 tools ships out of the box — from catalog lookups and SQL/PySpark code generation to approval-based safe execution.

04

Full air-gap support

Online pull → USB transfer → offline import workflow lets you deploy models, run RAG, and operate AI agents identically in air-gapped environments.

Platform architecture

An end-to-end AI platform where Platform UI, Server, AI Services, and Infrastructure Agent work together seamlessly.

Platform UI
Next.js · React
Insight dashboard
RAG search playground
Server health monitoring
Workspace management
User management
WebSocket terminal
Platform Server
FastAPI · PostgreSQL
Agent registration & proxy
Auth & SSO (Keycloak)
Workspace provisioning
Dashboard API
User synchronization
Service config management
AI Services
RAG · AI Agent
RAG embedding & search (pgvector)
Multi-chunking strategies
AI data engineering agent
ReAct reasoning loop (34 tools)
Code generation (SQL/PySpark)
Approval-based execution
Infrastructure Agent
Per-host Agent
Remote server management (12+ subsystems)
System monitoring (CPU/Mem/Disk/Net)
Package, process & cert management
PTY-based WebSocket terminal
K8s workspace deployment
Prometheus metric collection
Integrated infrastructure
AirflowMLflowMinIOKServeKeycloakGitLabPrometheusPostgreSQL

Key features

Everything an enterprise AI platform needs — from server operations and workspace management to RAG and AI agents.

Server fleet management

Agent-based remote management of multiple servers with real-time WebSocket monitoring and 12+ operational subsystems.

K8s workspace provisioning

Step-based workflow that auto-deploys Airflow, MLflow, MinIO, KServe, and Jupyter on Kubernetes with rollback on failure.

RAG pipeline

Document ingestion, multi-strategy chunking (paragraph/fixed/sliding), multi-provider embedding (SentenceTransformer/OpenAI/Ollama), and semantic, keyword, and hybrid search.

AI data engineering agent

ReAct reasoning loop-based AI agent with 34 tools (catalog lookup, code generation, execution, analysis) and approval-based safe execution.

Unified authentication (SSO)

Keycloak-based SSO with LDAP/AD, Unix, and CSV/JSON user synchronization, including dry-run mode.

Real-time monitoring

Prometheus-integrated metric collection with real-time CPU, memory, disk, and network dashboards.

WebSocket terminal

PTY-based remote terminal access from the browser for instant shell access during server management and troubleshooting.

Unified user management

Automatic user synchronization from LDAP/AD, Unix passwd, CSV/JSON files with systemd timer-based daily batch execution.