Create a custom embedding model

  • Release version: Yokohama
  • Updated July 31, 2025
  • 1 minute to read
  • Create a custom embedding model in the Generative AI Model Configuration [sys_generative_ai_model_config] table so that your AI Search Retrieval Augmented Generation (RAG) application can use it to generate embeddings for semantic indexing. This setup ensures that the model is recognized and properly connected to send and receive requests.

    Before you begin

    You must create a connection and credential alias for your embedding model. For more information, see Create a Connection & Credential alias

    Role required: admin

    Procedure

    1. Navigate to All, and then enter sys_generative_ai_model_config.list in the filter to go to the Generative AI Model Configuration [sys_generative_ai_model_config] table.
    2. Select New.
    3. On the form, fill in the fields.
      For a description of the field values, see .
    4. Select Submit.

    Result

    The new embedding model is created.

    What to do next

    Set a provider for the embedding model.