GTWY’s RAG Knowledge Base lets you embed a complete AI-driven document system directly inside your application. Your users can upload files, browse documents, and retrieve information instantly — all without switching tabs or relying on external tools.

The embedded widget integrates seamlessly with your product UI while enabling powerful AI-driven document retrieval using GTWY’s Retrieval-Augmented Generation (RAG) system.

It is lightweight, secure, customizable, and designed to work naturally within your existing interface.

Embedding a Knowledge Base transforms how users interact with information.

Instead of relying on static FAQs or lengthy documentation pages, users can interact with their documents dynamically.

With the GTWY RAG embed, users can:

• Upload and manage files such as PDFs, reports, or internal documents

• View and organize uploaded knowledge base files

• Search and retrieve information instantly

• Interact with documents directly inside your application

Whether you're building a SaaS platform, internal dashboard, or customer support portal, embedding the knowledge base provides faster and smarter access to critical information.

To begin, connect your application to your GTWY Knowledge Base using your organization details.

Example configuration:

org_id = 55592
folder_id = "6971b714f60dd5bf64ed42a6"
user_id = "unique_user_id"

org_id
Your GTWY organization’s unique identifier.

folder_id
The folder where the knowledge base documents will be stored.

user_id
A unique identifier for the user accessing the embedded knowledge base.
This can be an email, UUID, or internal user ID.

After defining these values, generate an Embed Token (JWT) using your GTWY access key.

NOTE:

• Sign the JWT using the HS256 algorithm.

• Use the access key exactly as provided (no encoding or modification required).

This token authenticates the embedded instance and securely connects it to your organization.

Once the embed token is generated, add the following script to your application where you want the Knowledge Base interface to appear.

<script 
 id="rag-main-script"
 embedToken="ENTER_EMBED_TOKEN"
 src="https://chatbot.gtwy.ai/rag-prod.js"
 parentId="ID_OF_PARENT_CONTAINER"
 theme="dark/light"
 defaultOpen="true/false"
></script>

This script loads the complete RAG interface and attaches it to your application container.

GTWY also provides built-in JavaScript functions to control the embedded Knowledge Base programmatically.

window.openRag()

This opens the Add Document modal, allowing users to upload new knowledge base files.

window.closeRag()

Closes the document upload modal.

window.showDocuments()

Displays the full list of documents stored in the connected knowledge base folder.

A typical integration flow looks like this:

1. Generate a JWT embed token using your org credentials.

2. Insert the RAG embed script into your application.

3. Define a container where the widget will render.

4. Use JavaScript functions to trigger document uploads or display document lists.

5. Allow users to interact with the knowledge base directly inside your product.

This setup enables a seamless knowledge experience without redirecting users to external platforms.

Embed searchable AI documentation directly within your product interface.

Provide employees instant access to SOPs, manuals, or internal documentation.

Allow users to upload documents and retrieve information quickly through an AI-powered knowledge system.

Wherever information exists, GTWY makes it accessible and actionable.

Security is built directly into the RAG embed architecture.

The system uses JWT-based embed tokens to ensure secure access.

This guarantees that:

• Only authenticated users can access the knowledge base

• Each interaction is tied to a specific org_id, folder_id, and user_id

• Tokens remain protected and should never be exposed in public client code

This architecture allows real-time AI-driven knowledge retrieval with enterprise-grade security.

Embedding GTWY’s RAG Knowledge Base turns your product into a smart document intelligence system.

With just a few lines of code, your users can:

• Upload and manage knowledge base documents

• View document lists directly inside your app

• Access AI-powered information retrieval

• Interact with knowledge without leaving your platform

Your application doesn’t just store documents anymore.

It understands them.