How to Audit Public Company Filings With a Knowledge Graph

A Memgraph Community Call featuring Vishal Singh of Quark Labs demonstrated how public company filings can be transformed into a knowledge graph to support cross-document auditing and financial analysis. Using Reddit’s S-1, quarterly, and financial-results filings, the workflow showed how Quark Labs connects to sources such as Amazon S3, SharePoint, Google Drive, APIs, and data platforms, then discovers, classifies, and extracts relevant entities, financial data, and relationships from varied document formats. The extracted information is mapped to a user-defined or AI-generated schema and loaded into Memgraph, where linked entities such as companies, underwriters, capital details, and related parties provide a shared context across filings. A GraphRAG layer can then retrieve connected evidence to answer questions involving multiple documents, such as changes in net loss alongside revenue growth, while citing the source materials behind the response. The approach emphasizes traceability, recurring updates, and adaptability to changing formats, schemas, extraction requirements, and data destinations, positioning knowledge graphs as a tool to organize evidence for analysts rather than replace professional judgment.

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