Content ingestion and Data management for Pega Knowledge Buddy

Pega Knowledge Buddy™ relies on well-structured content to generate accurate, role-appropriate responses. This module explains how content is ingested, organized, and secured within Pega Knowledge Buddy™, covering the full lifecycle from data collections and data sources to chunking methods and ingestion processing.

Débutant

Anglais

Après avoir terminé ce module, vous pourrez :

Describe the relationship between data collections and data sources in Pega Knowledge Buddy.

Apply chunking methods, including SIZE, TITLE, and NONE, to control how Pega Knowledge Buddy segments ingested content.

Monitor ingestion status and manage data sources by using the Knowledge Buddy portal.

Disponible dans la mission suivante :

Pega Knowledge Buddy v4

Rubriques

Content ingestion and chunking for Pega GenAI Knowledge Buddy

10 mins

Embedding attributes for Pega GenAI Knowledge Buddy

5 mins

Data Collections in Pega GenAI Knowledge Buddy

5 mins

Creating a Data collection for Knowledge Buddy

5 mins

Configuring Auto-attribution for Pega GenAI Knowledge Buddy

10 mins

Auto-attribution and auto-filtering for Pega GenAI Knowledge Buddy

5 mins

Creating data sources in the Pega GenAI Knowledge Buddy

5 mins

Data Source Security

5 mins

Quiz du module

5 mins