Table Description task

The Table Description task uses a vision language model to generate text-based summaries of detected tables in partitioned documents.

Type: prompter

Subtype: see Settings

For more information, see Table descriptions.

Unstructured can potentially generate table summary descriptions only for workflows that are configured as follows:

• With a Partitioner node set to use the Auto or High Res partitioning strategy, and a table summary description node is added.
• With a Partitioner node set to use the VLM partitioning strategy. No table summary description node is needed (or allowed).

Even with these configurations, Unstructured actually generates table summary descriptions only for files that contain tables and are also eligible for processing with the following partitioning strategies:

• High Res, when the workflow’s Partitioner node is set to use Auto or High Res.
• VLM or High Res, when the workflow’s Partitioner node is set to use VLM.

Unstructured never generates table summary descriptions for workflows that are configured as follows:

• With a Partitioner node set to use the Fast partitioning strategy.
• With a Partitioner node set to use the Auto, High Res, or VLM partitioning strategy, for all files that Unstructured encounters that do not contain tables.

Settings

subtype · string · required

Enrichment algorithm and provider. Set at the WorkflowNode level, outside of settings. Allowed values:

• anthropic_table_description
• bedrock_table_description
• openai_table_description
• vertexai_table_description

The preceding 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 values, contact your Unstructured account administrator or Unstructured sales representative, or request support.

provider_type · string · required

Provider that matches the prefix of subtype. Allowed values: anthropic, bedrock, openai, vertexai.

model · string · required

Model to use for table description. For a full list of the models available in Unstructured, see Available models.

Python SDK

table_description_enrichment_workflow_node = WorkflowNode(
    name="Enrichment",
    subtype="<subtype>",
    type="prompter",
    settings={
        "provider_type": "<provider-type>",
        "model": "<model>"
    }
)

{
    "name": "Enrichment",
    "type": "prompter",
    "subtype": "<subtype>",
    "settings": {
        "provider_type": "<provider-type>",
        "model": "<model>"
    }
}