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42–63 minutes
How to use GraphRAG for Economic Data Analysis (Tutorial)
Read More ->: How to use GraphRAG for Economic Data Analysis (Tutorial)This tutorial details how to create a GraphRAG (Graph-based Retrieval Augmented Generation) to conduct economic data analysis. It will focus on combining World Bank Data with Unstructured Reports. Introduction In today’s data-driven world, economic analysts are plagued with information in various forms. This can create a significant challenge in being able to extract valuable insights that are scattered across structured databases and unstructured documents. While the World Bank’s World Development Indicators (WDI) provide rich quantitative data, the context and explanations for economic trends often lie within IMF reports, OECD analyses, and policy papers. Traditional Retrieval-Augmented Generation (RAG) systems struggle to…
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5–7 minutes
GraphRAG is The Next Evolution in Economic Data Analysis
Read More ->: GraphRAG is The Next Evolution in Economic Data AnalysisHow knowledge graphs are transforming economic analysis by connecting quantitative data with institutional insights The Challenge Every Economic Analyst Knows Too Well Economic analysis today presents a fundamental challenge: the data we need exists in two separate worlds that rarely speak to each other. On one side, we have rich quantitative datasets like the World Bank’s World Development Indicators, providing precise measurements of GDP growth, inflation rates, and unemployment figures across countries and time periods. On the other side, we have institutional reports from the IMF, OECD analyses, central bank communications, and policy papers that explain the “why” behind the…

