You will get Knowledge Graph & Graph-RAG Intelligence System
Project details
Transform your data into actionable intelligence with a cutting-edge Knowledge Graph and Graph-RAG system. I specialize in building enterprise-grade graph databases that power semantic search, Q&A systems, and recommendation engines with unprecedented accuracy.
What makes Graph-RAG superior? Unlike traditional vector-based RAG, Graph-RAG delivers 50-80% improved accuracy by leveraging structured relationships between entities. This means more relevant answers, explainable results, and 70% reduction in LLM costs.
I provide end-to-end implementation using Neo4j or ArangoDB, integrated with OpenAI/Anthropic APIs, vector embeddings, and hybrid search capabilities. Whether you need to unlock insights from unstructured documents, build intelligent chatbots, or create a knowledge management system, I deliver production-ready solutions with comprehensive documentation and ongoing support.
What makes Graph-RAG superior? Unlike traditional vector-based RAG, Graph-RAG delivers 50-80% improved accuracy by leveraging structured relationships between entities. This means more relevant answers, explainable results, and 70% reduction in LLM costs.
I provide end-to-end implementation using Neo4j or ArangoDB, integrated with OpenAI/Anthropic APIs, vector embeddings, and hybrid search capabilities. Whether you need to unlock insights from unstructured documents, build intelligent chatbots, or create a knowledge management system, I deliver production-ready solutions with comprehensive documentation and ongoing support.
What's included
| Service Tiers |
Starter
$1,500
|
Standard
$3,500
|
Advanced
$7,500
|
|---|---|---|---|
| Delivery Time | 14 days | 28 days | 42 days |
Number of Revisions | 5 | 7 | 9 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - | - |
About Thanos
Software Enginner
Thessaloniki, Greece - 12:59 am local time
Core Skills
- Software Engineering: TypeScript, NestJS, React, Vue, MongoDB, AWS, DevOps, CI/CD
- Post-Quantum Cryptography: Kyber, Keccak/SHA-3, Dilithium, PGP; designing PQC-inspired encryption systems
- Security & Infrastructure: Encryption systems, AWS (S3, EC2, CloudFront, IAM, Lambda), PM2, Nginx
- AI & Analysis: Scenario modeling, Monte Carlo simulations, causal modeling, Python-based AI workflows
- Intelligence & Cybersecurity: OSINT, strategic analysis, digital forensics orientation, privacy-first engineering
Steps for completing your project
After purchasing the project, send requirements so Thanos can start the project.
Delivery time starts when Thanos receives requirements from you.
Thanos works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Analysis & Data Assessment
Review your data sources, understand business goals, and define the graph schema and entity/relationship structure
Graph Database Setup & Configuration
Install and configure Neo4j/ArangoDB, set up cloud infrastructure, and implement data ingestion pipelines