Document Synthesis Agent

The Document Synthesis agent performs agentic document search with support for images and tables within documents. Unlike the simpler Knowledge Search, it can understand and reference visual elements in documents, making it suitable for searches over richly formatted content.

Use Cases

  • Your knowledge base contains documents with important images, charts, or tables that affect the answer.
  • You need the agent to interpret visual elements alongside text when retrieving information.
  • Standard text-based search misses answers that are embedded in tables or figures.

Inputs

InputTypeRequiredDescription
user_requestText with SourcesYesThe search query or question.
named_inputsAny (array)NoAdditional context as reference materials (e.g., documents, text, search results).
datastore_configsDatastoreConnection (array)NoKnowledge base data sources to search.

Outputs

OutputTypeDescription
document_synthesis_resultText with SourcesThe synthesized response with references to source documents, including image and table citations.

Configurations

ParameterDescriptionDefault
use_web_searchWhether the agent can search the internet for information.false
use_image_searchWhether to search for images in preuploaded documents.false
use_code_interpreterWhether to enable code execution for analysis and visualization.false
use_web_scrapingWhether to enable full web page scraping with content extraction.false
reasoning_levelDepth of model reasoning: None, Low, Medium, High, or Default.Default
maximum_iteration_limitMaximum number of agent iterations before forcing a final response.15
search_instructionsInstructions that guide how the agent searches.None
respond_instructionsInstructions that guide how the agent formats the response.None

How to Use This Agent

A compliance AI Employee that needs to reference policy documents containing tables and flowcharts:

chat_trigger -> document_synthesis -> workflow_output

Last updated: Jul 3, 2026