BigQuery Graph and Kineviz GraphXR combine to turn unstructured enterprise documents (like SEC 10-K filings) into traversable knowledge graphs without complex ETL pipelines or separate graph databases. The workflow uses BigQuery AI Functions with Gemini to extract structured entities and relationships from raw documents stored in Cloud Storage, then declares a property graph via a single DDL statement. Kineviz GraphXR connects directly to BigQuery Graph for interactive visual exploration, natural language querying, and AI-assisted analysis. A Fortune 500 SEC filings example extracted 87,000 entities and 20,000+ competitor mentions, enabling competitive landscape analysis with full source traceability.
Table of contents
From fragmented to unified with BigQuerySort: