# Enterprise Knowledge Garden (EKG)

# Overview

The Enterprise Knowledge Garden (EKG) is Purple Fabric's foundational system for connecting, transforming, and enriching enterprise data to make it AI-ready. Designed to handle unstructured and semi-structured information, EKG addresses the challenge of fragmented data silos. It organizes and grounds knowledge in its original sources, preparing it for sophisticated AI processing. Rather than operating as a simple storage repository, EKG delivers 'Knowledge-as-a-Service', ensuring the right information is available to the right AI agents and users at the right time, with full context and traceability.

# What EKG Enables

  • Thematic Knowledge Gardens: Create domain or function-specific gardens (e.g., for R&D, Project Management, or Customer Support) to serve distinct business needs with clear scope.
  • Context-Aware Search: Structure organizational data to deliver precise, relevant search results that go beyond simple keywords to understand query intent.
  • Trusted AI Grounding: Connect EKG as a verified knowledge source for agents and Enterprise GPT, ensuring responses are accurate, decision-grade, and significantly reduce the risk of hallucination.

# How to Think About EKG

EKG acts as a knowledge layer, not just a data layer. It transforms raw content into machine-understandable vectors through advanced chunking and embedding processes, optimized for:

  • Handling unstructured documents and images
  • Providing semantic understanding and context
  • Delivering verified, decision-grade retrieval

EKG complements existing enterprise systems by connecting knowledge to intelligence, rather than replacing systems designed for structured or transactional data.

# Key Use Cases

This powerful capability is particularly useful when:

  • Unifies fragmented unstructured data: Connects diverse data sources into a single, coherent knowledge garden, breaking down information silos.
  • Integrates with Enterprise GPT: Provides high-quality, contextual data directly to Enterprise GPT, enabling them to generate more accurate and reliable insights.
  • Enhances search: Structures organizational data to deliver precise, relevant, and context-aware search results.
  • Enables tailored knowledge: Creates customized knowledge gardens for specific business functions like R&D, project management, or customer support.
  • Drives business outcomes: Applies unified data to improve decision-making, increase operational efficiency, and foster innovation for a competitive advantage.

# Quick Links

Role Description Link / Reference
Knowledge Manager Learn how to create and manage knowledge gardens to serve different departments. Create a Knowledge Garden
Knowledge Manager Understand how to add descriptive information to your files. Adding Metadata
Knowledge Manager See how to manage and review ingested data chunks. Chunk Editor
AI Developer/Data Scientist Deep Dive into understanding data ingestion in EKG Ingesting data into an EKG
AI Developer/Data Scientist Understand how to configure chunking and embedding models for optimal performance. Configure a Knowledge Garden
Business Analyst/End User Discover how an EKG can be used as a knowledge source for AI agents to get verified answers. Use with AI Agents as a Knowledge Source
Business Analyst/End User See how to perform and analyze retrieval tests to ensure the system is giving relevant information. Perform retrieval test
Data Engineer Deep Dive into understanding data ingestion in EKG Ingesting data into an EKG
Data Engineer Learn how to manage the data library and its uses Manage Data Library
# Read concepts related to Enterprise Knowledge Gardens: Core Concepts