Embedding in OpenWebUI

Introduction

An embedding is a process that translates unstructured text—such as PDFs, markdown files, or website content—into high-dimensional numerical vectors that capture the actual context and meaning of your data. Instead of performing simple keyword searches, the system uses these mathematical representations to quickly compare and match queries with relevant passages across your uploaded knowledge bases.

By setting up an embedding model in OpenWebUI, you power its built-in Retrieval-Augmented Generation (RAG) engine. This enables AI models to search through your private documents in real time, extract precise context, and deliver highly accurate, grounded answers directly within your chat threads.

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Prerequisites

Before configuring embeddings in OpenWebUI, ensure you have the following:

• OpenWebUI Environment: Admin access to OpenWebUI running within your secure GLBNXT workspace.
• GLBNXT API Key: Create a GLBNXT API Key to track your embeddings.

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Configuration

Step 1: Create an API Key

1. Go to GLBNXT API Keys and click on + Create Key.
2. Enter a name, risk level, expiration and select models (make sure to at least include the embedding models).
3. Copy the API Key and store it somewhere safe.

Step 2: Configure embedding in OpenWebUI

1. Open OpenWebUI, make sure that you log in as an admin.
2. Select the Admin Account, go to Admin Panel > Settings > Documents.
3. Halfway the page you will find "Embedding", click on "Default (SentenceTransformers)".

1. A dropdown will appear, then select from the dropdown "OpenAI".

1. Use the API Base URL: OpenAI-compatible endpoint found in GLBNXT API Keys.
2. Enter the API Key from Step 1 in the API Key field in OpenWebUI.
3. Then go to the GLBNXT Model Hub , search for embedding and copy the model ID of your preferred embedding model. In the example below, we have chosen for qwen3-embedding:8b

1. Press Save, your OpenWebUI instance is now ready to use embedding.

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Need help? Contact the GLBNXT support team or ask a GLBNXT agent to walk you through the setup.