Query Manipulation Server 26.2
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# 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.

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Version 26.2 | Last updated April 2026

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Product: Knowledge Discovery Query Manipulation Server 26.2

Topic Title: Generate Embeddings