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For the complete documentation index for agents and LLMs, see llms.txt.

MockedTextEmbedder

A test component that returns a mocked text embedding without calling any real embedding model.

Key Features​

  • Returns a fixed mock embedding for testing purposes only.
  • Requires no model configuration or API credentials.
  • Useful for testing pipelines without incurring embedding model costs.
  • Not intended for production use.

Configuration​

  1. Drag the MockedTextEmbedder component onto the canvas from the Component Library.
  2. Click the component to open the configuration panel.
  3. Configure the parameters as needed.

Connections​

MockedTextEmbedder outputs an embedding (a list of floats). Connect its output to an embedding retriever to test pipeline connectivity without calling a real embedding model.

Usage Example​

components:
  MockedTextEmbedder:
    type: opensearch.tests.test_open_search_hybrid_retriever.MockedTextEmbedder
    init_parameters:

Parameters​

Inputs​

ParameterTypeDefaultDescription

Outputs​

ParameterTypeDefaultDescription
embeddinglist[float]A mocked embedding vector.

Init Parameters​

These are the parameters you can configure in Pipeline Builder:

ParameterTypeDefaultDescription

Run Method Parameters​

These are the parameters you can configure for the component's run() method. This means you can pass these parameters at query time through the API, in Playground, or when running a job. For details, see Modify Pipeline Parameters at Query Time.

ParameterTypeDefaultDescription