You will get Strategic Consultation: GraphRAG, Agentic AI, and Graph MCP Architecture.
Project details
Stop Hallucinating. Start Reasoning: Expert GraphRAG & Agentic AI Consultation
Is your RAG system failing on complex queries? Are your AI agents getting "lost" in flat vector data? Standard Vector RAG is great for finding facts, but it’s blind to relationships. To build truly intelligent, autonomous agents, you need the power of a Knowledge Graph.
I provide specialized architectural consultation to help you bridge the gap between raw data and sophisticated Agentic AI using Graph Databases (neo4j,tigergraph and memgraph), GraphRAG, and the new Model Context Protocol (MCP).
Is your RAG system failing on complex queries? Are your AI agents getting "lost" in flat vector data? Standard Vector RAG is great for finding facts, but it’s blind to relationships. To build truly intelligent, autonomous agents, you need the power of a Knowledge Graph.
I provide specialized architectural consultation to help you bridge the gap between raw data and sophisticated Agentic AI using Graph Databases (neo4j,tigergraph and memgraph), GraphRAG, and the new Model Context Protocol (MCP).
What's included
| Service Tiers |
Starter
$75
|
Standard
$150
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Schema Diagram | - | ||
Permissions Setup | - | - | |
Import/Export Data | - | - | |
Admin Panel Setup | - | - |
Optional add-ons
You can add these on the next page.
Schema Diagram
(+ 3 Days)
+$50
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RG
Rahul G.
Feb 18, 2026
text2cypher to build LLM model from the scratch:
JR
John R.
Apr 21, 2025
Python Developer Needed for TigerGraph Savanna Integration
Mohammad did an excellent job in a very short amount of time! He is very easy to communicate and work with!
SW
Stanley W.
Mar 30, 2025
Graph Database Model and Documentation
About Mohammad
Ontology Engineer|Knowledge Graph|Tigergraph| Neo4j | Python|Graph RAG
69%
Job Success
Mangalore, India - 12:51 am local time
Areas of Expertise:
Graph Databases: Neo4j & TigerGraph — schema design, query optimization, and analytics.
Python Development: FastAPI, automation, data pipelines, and API integrations.
Data Engineering: PostgreSQL, Apache NiFi, Airflow, and Dockerized deployments.
AI & LLM Integration: Connecting databases and knowledge graphs to LLMs for intelligent querying.
Visualization: React dashboards, D3.js, and Grafana for data insights.
Why Work With Me?
I combine technical depth with a problem-solving mindset, focusing on graph-driven analytics and AI-powered applications. My approach is hands-on, collaborative, and results-oriented—turning complex data into actionable insights.
Steps for completing your project
After purchasing the project, send requirements so Mohammad can start the project.
Delivery time starts when Mohammad receives requirements from you.
Mohammad works on your project following the steps below.
Revisions may occur after the delivery date.
The Interactive Architecture Workshop
Initial call to understand the scope of work and explaining the capabilities of graph in Generative AI
Implementation Roadmap
I deliver your final package (based on your chosen tier), which includes the visual architecture, the recommended tech stack, and a prioritized developer roadmap

