Query Manipulation Server 25.3
Query Manipulation Server Help

# Generate Embeddings

This section describes how to use QMS to generate embeddings that you can use in your Knowledge Discovery index and queries.

Embeddings are an alternative way to encode unstructured information. Embeddings, also known as vectors, are numerical values that represent the concepts in a particular piece of text. In general, the vectors generated for pieces of text with a similar meaning are close in the vector space. Therefore embeddings allow you to perform vector-based comparisons to find similar content.

You can include the embeddings in your documents to index into the Content component, and use them to query Content for similar vectors.

Copyright 2025 Open Text
Version 25.3 | Last updated July 2025

Send documentation feedback

Close

Send documentation feedback

To send feedback using your default email client, open an email window.

Otherwise, send your feedback and the information below to MFI-swpdl.idoldocsfeedback@opentext.com.

We appreciate your feedback!

Product: Knowledge Discovery Query Manipulation Server 25.3

Topic Title: Generate Embeddings