Answer Server 25.3
Answer Server Help

# AnswerCandidateEmbeddingsSettings

The name of a configuration section that contains settings for how Answer Server queries the Content component for vectors. This parameter applies only when Type is set to `PassageExtractor`, `PassageExtractorLLM`. or `RAG`.

You can use this option as an alternative to the default conceptual search, if you have vector search configured in your Content component. In a RAG system, you can use a combination of vector and conceptual search, by setting RetrievalType to `mixed`.

You must create the corresponding configuration section, and configure VectorField and EmbeddingsConfig. See My Vector Settings Configuration Parameters.

Type: | String
Default: |
Required: | No
Configuration Section: | MySystem
Example: | `AnswerCandidateEmbeddingsSettings=VectorSettings [VectorSettings] EmbeddingsConfig=EmbeddingsSystem VectorField=VECTORA`
See Also: |

Copyright 2016-2025 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 Answer Server 25.3

Topic Title: AnswerCandidateEmbeddingsSettings