neo4j-graph-data

What problem does it solve?

It helps users understand and navigate a Compliance Theater Neo4j knowledge graph to answer case-file, policy, evidence, and relationship questions without writing blind Cypher or guessing where information lives.

Core Features & Use Cases

• Graph-schema-first guidance: Uses the graph schema reference to safely plan Cypher that matches the live data model.
• Read-only evidence exploration: Explores case-file documents, actors, email threads, attachments, and compliance artifacts using graph_read patterns, keeping mutations out unless explicitly requested.
• Named case-theory retrieval: Resolves a user’s theory phrasing to the correct case_theory.theory_key (e.g., improper_records_supporting_correction_denial) and returns ordered evidence with role and notes.
• Relationship and traversal reasoning: Traverses evidence relationships (threads, replies, attachments, policy references, subject-matter links) to explain how documents connect.
• Embedding-aware discovery: Performs vector search using the graph’s embedding indexes (e.g., case_file_document_embedding) to find relevant nodes by meaning while avoiding manual vector handling.

Quick Start

Ask: "What graph data exists for this case-file and how is it connected to the named theory improper records supporting correction denial?"