The ESG Knowledge Hub

This section introduces the ESG Knowledge Hub. It also includes some background information on how GraphRAG improves traditional generative AI through domain-specific knowledge graphs.

Background

Traditional conversational AI platforms have increased in popularity over recent years. They have been deemed as useful due to their ability to answer questions in a natural, convincing and concise manner. However, the results retrieved from these generative AI models are often inaccurate and cannot be traced back to their source. This is particularly dangerous in workspaces or other cases where the accuracy, transparency and explainability of information needs to be guaranteed. For this reason, RAG (Retrieval Augmented Generation) has been developed to tackle these issues.

GraphRAG combines knowledge graphs and LLMs (Large Language Models) to produce concise, understandable as well as correct and traceable information. This is critical when it comes to the complex landscape of ESG reporting. Knowledge-hub.eco is a conversational AI demo application based on the ESG Core Knowledge Model which is currently the most comprehensive domain-specific knowledge model available for the ESG domain.

Guide Outline

The following pages will guide you through the the tool's UI as well as how to interact with its generated output.