Core Content Services FAQs

Question 1

Does Core Content Services integrate with existing IBM FileNet systems?

Accepted Answer

Yes, it connects directly to your IBM FileNet Content Platform Engine (CPE) server through the Content Services GraphQL API (CS-GQL), requiring specific environment variables for secure and effective configuration.

Question 2

What is Core Content Services?

Accepted Answer

Core Content Services is a standardized interface designed to expose IBM FileNet Content Manager (FNCM) capabilities directly to AI models, enabling intelligent and automated interactions with enterprise content.

Question 3

What content management tasks can AI models perform with this tool?

Accepted Answer

AI models can manage the full document lifecycle (create, update, check-in/out, delete), perform advanced searches, handle folder management, retrieve document metadata, version history, text extracts, and annotations within FileNet.

Question 4

Can AI models search for documents within FileNet using this service?

Accepted Answer

Absolutely. The service provides robust search capabilities, allowing AI models to perform repository object searches, look up documents by name or path, and utilize various search criteria to find relevant content efficiently.

Question 5

What are the key technical prerequisites for using Core Content Services?

Accepted Answer

To use Core Content Services, you need Python 3.13+, the `uv` package manager, access to a FileNet CPE server with CS-GQL installed, and optionally the Persistent Text Extract add-on for retrieving document text content.

Core Content Services

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