| { |
| "name": "Knowledge Graph Risk Engine", |
| "problem": "Risk teams need relationship-level explanations instead of opaque entity scores.", |
| "domain": "knowledge-graphs", |
| "architecture": "graph", |
| "hugging_face_tasks": [ |
| "token-classification", |
| "feature-extraction", |
| "question-answering", |
| "sentence-similarity" |
| ], |
| "recommended_stack": [ |
| "FastAPI for entity and evidence APIs", |
| "Neo4j Community or PostgreSQL recursive queries", |
| "Sentence Transformers for entity resolution", |
| "NetworkX for local graph validation", |
| "Kafka-compatible event ingestion", |
| "OpenTelemetry for lineage and query traces" |
| ], |
| "real_world_data_sources": [ |
| { |
| "name": "SEC EDGAR submissions API", |
| "url": "https://data.sec.gov/submissions/CIK0000320193.json", |
| "purpose": "Public company and filing relationships" |
| }, |
| { |
| "name": "GLEIF LEI API", |
| "url": "https://api.gleif.org/api/v1/lei-records?page[size]=5", |
| "purpose": "Public legal-entity identifiers and relationships" |
| } |
| ], |
| "job_description_skills": [ |
| "Entity resolution and relation extraction", |
| "Knowledge-graph modeling and path queries", |
| "Graph-based explainability and provenance", |
| "Streaming ingestion and schema evolution", |
| "Risk-model evaluation and data quality controls" |
| ], |
| "impact_targets": [ |
| "Reach entity-resolution precision >= 0.95 on reviewed pairs", |
| "Return evidence paths for 100% of emitted risk flags", |
| "Process 10,000 relationship events per minute in load tests", |
| "Detect schema and orphan-node regressions in CI" |
| ], |
| "baseline_evaluation": { |
| "test_examples": 4, |
| "accuracy": 1, |
| "synthetic_evaluation": true |
| }, |
| "estimated_delivery": "8-12 weeks for one engineer", |
| "generated_baseline_is_production_ready": false |
| } |
|
|