Architecture Overview
RAGA is a Unified Intelligence Operations Platform developed by TLab, designed to help organizations manage, understand, and execute data-driven decisions in an integrated and secure manner. RAGA acts as a centralized intelligence layer that orchestrates data, AI models, and operational workflows into a single system.
This page explains RAGA's architecture from a technical standpoint: the problems it solves, its core capabilities, the value principles behind the system design, and the user segments it serves. For inference component details, see Raga Engine.
Problems Solved
| Problem | Description |
|---|---|
| Data Fragmentation | Information is scattered across documents, audio, databases, and legacy systems without a unified context |
| Uncontrolled AI Usage | Unmanaged AI usage creates security risks and data leakage |
| Insight Without Action | Analytics systems fail to convert findings into operational execution |
Key Capabilities
RAGA consolidates four knowledge sources (documents, audio, databases, and external APIs) into a single AI Core orchestrated by a governance layer, then exposes it through three output paths.
Six Value Pillars
- Unified Intelligence Layer — Consolidates documents, audio, databases, and APIs into one consistent intelligence source.
- Faster, Trusted Decisions — RAG + LLM produce answers and reports grounded in validated internal data.
- Governed AI — AI access is permissioned, logged, and auditable; never a black box.
- Insight-to-Action Execution — Agentic AI executes workflows, calls APIs, and produces automated actions.
- Context & Role-Based Intelligence — Every AI interaction runs within a defined workspace, role, and system prompt context.
- Enterprise-Ready — Supports on-premise or private-environment deployment with full data sovereignty.
Target Users
| Segment | Needs |
|---|---|
| Decision Makers | Automated reports grounded in internal data |
| Analyst | Fast Q&A over documents and databases |
| IT / Data Team | API integration, governance, and monitoring |
| Government / Enterprise | On-premise AI system with full compliance |
Gulungan Sakti Excel Link
The URL list for every service (dev/staging/production) is maintained in one shared spreadsheet:
Summary
RAGA is not designed as a standalone chatbot, but as an intelligence layer that orchestrates multimodal data, AI models, and access governance into a single system that is auditable and ready for enterprise and government operational needs.