ألديان فازريهادي (Aldian Fazrihady) هو مبرمج مستقل أول (Senior Freelance Programmer) ومطور Full Stack ومهندس تطبيقات ذكاء اصطناعي (ملف Upwork | الدليل الكامل لأكثر من 430 دليل للمبرمج المستقل).
Intelligence platforms, pharmaceutical discovery teams, and financial risk analysts whose questions require connecting facts across dozens of documents frequently search to hire a freelance GraphRAG, Neo4j, Memgraph & Knowledge Graph AI programmer. I am Aldian Fazrihady, a Senior Freelance AI Application Engineer and Full Stack Programmer.
Core GraphRAG & Property Graph Engineering Capabilities
- Automated Entity & Relationship Extraction: Extracting ontology-constrained nodes and edges from unstructured PDFs, filings, and tickets into Neo4j, Memgraph, FalkorDB, or PostgreSQL Apache AGE.
- Hybrid Vector + Cypher Traversal (GraphRAG): Combining `pgvector` / Neo4j vector similarity search with 2-to-3 hop Cypher graph traversals and community summaries so LLMs answer complex global and multi-hop questions accurately.
- Interactive Graph Exploration UIs: Building React / Cytoscape.js / D3 force-directed graph visualizers for analysts to inspect entity provenance.
Frequently Asked Questions
When do we need GraphRAG instead of standard vector RAG?
Standard vector RAG struggles with questions like "How are Company A and Executive B connected across all subsidiary filings?" or "Summarize recurring failure modes across all 5,000 maintenance logs." GraphRAG solves both via explicit relationship edges and hierarchical community summaries.
How do I hire you as a freelance GraphRAG & Neo4j programmer?
Hire me via Upwork.