Advanced Topics

📄️ Content Source Custom Metadata

Content source custom metadata lets you attach static key-value pairs to every document ingested by a content source. This is useful when you need all documents from a source to carry the same metadata — for example, a visibility level, an owner, or an information classification — without setting up an enhancement connector.

📄️ Extract Metadata using AI Agents

You can extract metadata from document content using AI agents. This extracted information is considered an enhancement since the metadata is not part of the original document content.

📄️ Adding Metadata Extractor Fields

Step-by-step guide to add new metadata fields to an existing AI-powered metadata extraction pipeline.

📄️ Process Documents using AI Agents

You can process documents using AI agents configured in your tenant. This enhancement allows you to perform various tasks such as summarization, classification, or custom processing based on the agent's configuration. The processed output is stored as an enhancement and can be mapped to specific fields of the document in the index.

📄️ Create a Document Edit

A Document Edit enables you to override initial document data by creating an enhancement that contains the edited fields. These edited fields take priority over the initial values from the document source.

📄️ Join Data from Multiple Sources

A Join Enhancement enables you to enrich documents from one content source with data from another content source based on matching field values. This is useful for combining related information from different systems.

📄️ Create a Custom Enhancement

A Custom Enhancement enables you to implement custom enhancement logic by posting enhancement batches directly to the API. This is a generic enhancement connector that provides maximum flexibility for implementing specialized document enhancement workflows.