Embedder node

Configure an Embedder node to convert chunked document elements into vector embeddings using a supported provider and model, enabling similarity search in vector stores.

Type: embed

Subtype: see Settings

If you add an embedder node, you must set the workflow’s chunker node’s max_characters setting to a value at or below Unstructured’s recommended maximum chunk size for your specified embedding model. Learn more.

Learn about the available embedding providers and models.

Settings

subtype · string · required

Embedding provider. Set at the WorkflowNode level, outside of settings. Allowed values: azure_openai, bedrock, ibm, togetherai, voyageai.

The following list applies only to Unstructured Let’s Go and Pay-As-You-Go accounts.

For Unstructured Business accounts, to get your current list of available models, contact your Unstructured account administrator or Unstructured sales representative, or request support.

model_name · string · required

Embedding model to use. For a full list of the models available in Unstructured, see Available models.

Python SDK

embedder_workflow_node = WorkflowNode(
    name="Embedder",
    subtype="<subtype>",
    type="embed",
    settings={
        "model_name": "<model-name>"
    }
)

{
    "name": "Embedder",
    "type": "embed",
    "subtype": "<subtype>",
    "settings": {
        "model_name": "<model-name>"
    }
}