graphify

To turn a folder of files into a navigable knowledge graph, you drop the folder into the tool and run it to extract structured relationships, generating an interactive HTML visualization, a graph JSON, and a plain-language report.

An audit trail in a knowledge graph tags edges as EXTRACTED or INFERRED to provide traceability across documents and code, ensuring cross-document reasoning remains honest and verifiable for analysis.

Yes, you can generate a GraphRAG-ready JSON output from a folder of files alongside an interactive HTML graph and a human-readable report, supporting both exploration and downstream retrieval-augmented generation.

Yes, the knowledge graph tool supports both code and image analysis by applying extraction across code, docs, and papers to produce structured relationships and an audit trail for cross-document reasoning.

The best way to visualize connections across multiple documents and code files is to generate an interactive HTML graph with community detection, which reveals relationships and preserves context across sessions.

While the tool generates interactive HTML graphs and JSON from folders, limitations may arise with extremely large datasets depending on community detection performance, though relationships persist across sessions to preserve context.