This blog post shows you how to transform days of manual financial analysis into seconds of comprehensive insights by building an Agentic GraphRAG solution for capital markets. You’ll see the architecture, graph schema design, and agent setup that lets business users ask complex questions in plain language.
Capital markets firms track financial relationships across multiple data sources, from corporate ownership and supply chains to counterparty exposures spanning several degrees of separation. Traditional databases store data in tables, making it difficult to query complex relationships. Analysts must manually combine insights from multiple databases and documents.
Agentic GraphRAG solves this by combining graph queries with document searches. AI agents automatically determine which data sources to query, overlaying structured relationship data with contextual information from regulatory filings, news, and research reports. Business stakeholders can ask…
https://aws.amazon.com/blogs/industries/agentic-graphrag-for-capital-markets/
