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.

Anfänger

Englisch

Nach Abschluss dieses Moduls können Sie Folgendes:

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.

In der folgenden Mission verfügbar:

Pega Knowledge Buddy v4

Themen

Content ingestion and chunking for Pega GenAI Knowledge Buddy

10 Min.

Embedding attributes for Pega GenAI Knowledge Buddy

5 Min.

Data Collections in Pega GenAI Knowledge Buddy

5 Min.

Creating a Data collection for Knowledge Buddy

5 Min.

Configuring Auto-attribution for Pega GenAI Knowledge Buddy

10 Min.

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

5 Min.

Creating data sources in the Pega GenAI Knowledge Buddy

5 Min.

Data Source Security

5 Min.

Modulquiz

5 Min.