RAGA Chat API & IFRAME Documentation

Introduction

Welcome to the RAGA Chat API & IFRAME documentation. You can integrate your system with the RAGA chatbot service using two primary approaches:

1. API Integration – Send messages to the chatbot and manage conversations programmatically via APIs.
2. IFRAME Integration – Embed the chatbot directly into your website or application using an IFRAME.

Advantages & Limitations

1. API Integration
   Currently supports text-based chat only. Full feature support is not yet available.

2. IFRAME Integration
   Provides full features, including sending images and files.

1. API Integration

Base URL

All API endpoints are accessible via:

https://api.raga.ziwardingai.xyz/v1/api/

Required Parameters

Each API request must include the following parameters:

Parameter	Type	Description
app_key	String	Unique application key issued to you. Required.
workspace_id	String	Your workspace ID in the RAGA system. Required.

Note: These parameters may be sent via URL query or headers, depending on the endpoint. Refer to each endpoint’s documentation for details.

Obtaining App Key & Workspace ID

Please contact the RAGA administrator to obtain your dedicated app_key and workspace_id for integration.

2. IFRAME Integration

In addition to APIs, RAGA Chat supports IFRAME integration for easy embedding into your website or application.

IFRAME Base URL

[https://raga.tlab.co.id/chat/iframe](https://raga.tlab.co.id/chat/iframe)

Required Parameters (via URL Query)

Parameter	Type	Description
key	String	Unique application key. Required.
workspace	String	Workspace ID in the RAGA system. Required.

Notes

• Ensure the key and workspace values are valid.
• Ensure your domain is registered and whitelisted to allow IFRAME access (contact the RAGA administrator if needed).
• If parameters are missing or invalid, the chatbot will not be displayed.

Summary

Integration Type	Base URL	Method
API	https://api.raga.ziwardingai.xyz/v1/api/	HTTP Request (GET/POST)
IFRAME	https://raga.tlab.co.id/chat/iframe	IFRAME Embed

Support

For questions or technical assistance, please contact the RAGA administrator.

List of External Applications Integrated with RAGA

Below is a list of external applications and systems that have integrated or leveraged RAGA AI Chatbot technology for various service, automation, and analytics use cases:

No	Application Name	Platform / Type	RAGA Integration Description
1	Web TLAB	Web Application	The main TLAB portal that utilizes RAGA as an AI-powered chatbot for information delivery, user assistance, and intelligent interactions to support services and knowledge assistance.
2	Web TCT	Web Application	An internal TCT system integrated with RAGA to provide user assistance and automated AI-driven conversational responses.
3	AEGIS	Analytics & Decision Support System	Uses RAGA to generate summaries from insect detection results and subsequently provide AI-based recommendations for follow-up actions.
4	Juru	AI Report Generator	RAGA is used to paraphrase JSON-formatted data into human-readable report narratives and actionable insights.
5	Notubot / Dijabarin / Dirangkumin	Audio Intelligence & Knowledge Chatbot	Uses RAGA to generate key points and summaries from audio content. The processed audio outputs are then consolidated as knowledge sources within a unified chatbot.
6	MiniTW / Iris	News & Social Media Intelligence	News Tab: • Named Entity Recognition (NER) • Pancagatra NER • Hate Speech Detection • Sentiment Analysis • Text Classification • Topic Modelling • Quote Extraction Social Media Tab: • NER • Pancagatra NER • Hate Speech Detection • Sentiment Analysis • Text Classification • Topic Modelling
7	Geosentra	Geospatial & Disaster Information System	Uses RAGA as an earthquake chatbot that processes disaster-related information and translates it into map-based visualizations.
8	Dimah Project	Internal Operational System	RAGA is used as an operational support chatbot and centralized knowledge base for internal organizational needs.
9	Team QA	Quality Assurance Tool	Uses RAGA to automatically generate test cases from applications, including functional testing scenarios, user flows, and system requirement validation, improving QA efficiency and consistency.
10	WA Blast	Messaging & WhatsApp Automation	Uses RAGA to generate paraphrased messages prior to delivery, ensuring more natural, varied, and context-aware communication.
11	Docint	Document Intelligence Platform	Uses RAGA to: • Generate key points • Create summaries • Extract insights from knowledge sources • Build AI modules such as summary overview, key insights, mind mapping, topic modelling, NER analytics, sentiment analysis, and automated report generation.