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You will get GraphRAG Legal Document Processing System

Muhammad O.Status: Offline
Muhammad O.
Preview image

Let a pro handle the details

Buy Generative AI services from Muhammad, priced and ready to go.
Muhammad O.Status: Offline
Muhammad O.
Preview image

Let a pro handle the details

Buy Generative AI services from Muhammad, priced and ready to go.

Project details

You will get a complete, production-ready GraphRAG system that goes beyond traditional vector search. This isn't just RAG - it's true graph-based retrieval with explicit knowledge graph construction, multi-hop reasoning, and full explainability.

With expertise in GraphRAG, knowledge graphs, and LLM integration (GrowthRune AI Research Scientist, 5.0-rated Upwork projects), I deliver systems that can trace every answer back to specific document sections. The system processes 400+ questions in under 60 minutes with parallel execution, generates Vancouver-style citations, and handles complex multi-document queries through graph traversal.

What sets this apart: Real graph construction (NetworkX), hybrid retrieval (graph + vector), agentic orchestration, and complete citation traceability. The work is 100% original code with comprehensive documentation, tests, and ready-to-deploy architecture. Perfect for legal document processing, knowledge management, or any domain requiring explainable AI with source attribution.
AI Algorithms
Feedforward Neural Network, Large Language Model, Recurrent Neural Network, Transformer Model
AI Applications
Conversational AI, Machine Translation, Natural Language Generation, Natural Language Understanding, Sequence Modeling
AI Development Language
Python
AI Tools
Hugging Face, PyTorch, TensorFlow
AI Models
BERT, ChatGPT, GPT-4
What's included
Service Tiers Starter
$2,000
Standard
$2,500
Advanced
$3,000
Delivery Time 1 day 1 day 1 day
Number of Revisions
454
AI Model Integration
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Batch Normalization
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Database Integration
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Detailed Code Comments
Image Upscaling
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MLOps
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Model Deployment
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Model Documentation
Model Monitoring
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Model Testing & Optimization
Model Tuning
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Natural Language Processing
NLP Tokenization
Pre-Training
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Prompt Engineering
Setup File
Source Code

Frequently asked questions

Muhammad O.Status: Offline

About Muhammad

Muhammad O.Status: Offline
Software Engineer
Lahore, Pakistan - 11:15 am local time
Greetings! I'm Muhammad Omar Farooq, an accomplished developer passionate about translating innovative concepts into robust code using the power of Python. Specializing in Python development, I bring expertise in FastAPI, object-oriented programming, PyTorch, Redis, diffuser models, and pipelines, along with a proficiency in deploying Stable Diffusion and other models on GPU instances. My experience encompasses managing infrastructure, implementing best practices, and contributing significantly to project success.

With a solid foundation in back-end development and API design, I ensure a deep understanding of software architecture principles, delivering efficient and scalable systems tailored to complex applications.

Beyond Python, my skills extend to cross-platform application development using Flutter for Android and iOS. I excel in product deployment and have a proven track record in creating DevOps pipelines to automate development, testing, building, and deployment processes.

Here's a snapshot of my skills:
☑️ Python: Django, Flask, Diffusers
☑️ Stable Diffusion: Diffusers, ComfyUI, A1111
☑️ APIs: Rest API, FastAPI
☑️ Machine Learning: Diffuser models, Generative AI, PyTorch, Oneflow
☑️ Cloud Services: AWS, GCP, MS Azure, DigitalOcean
☑️ Mobile Development: Flutter, Firebase
☑️ Other Tools: Docker, GitFlow, CI/CD, Agile Workflow

I am committed to delivering excellence and innovation in every project I undertake. Let's collaborate to transform your ideas into reality and elevate your software solutions to new heights.

Steps for completing your project

After purchasing the project, send requirements so Muhammad can start the project.

Delivery time starts when Muhammad receives requirements from you.

Muhammad works on your project following the steps below.

Revisions may occur after the delivery date.

Project Setup & Environment

Knowledge Graph Construction

Review the work, release payment, and leave feedback to Muhammad.