You will get AI Automation Workflow — n8n Agent for Business Tools
Project details
I build RAG (Retrieval-Augmented Generation) systems that let
you ask plain-language questions to your PDF documents and get
precise, sourced answers — with page number and excerpt.
Built and tested on a real production stack:
→ 21 PDFs indexed · 185 chunks · Azure AI Search (France Central)
→ Flask API · Mistral API (GDPR-compliant, French LLM)
→ Docker · Terraform IaC · n8n workflow automation
What sets this apart:
• GDPR-native: data stays in France (Azure France Central + Mistral)
• Infrastructure as Code: fully reproducible with Terraform
• Production-ready: containerized with Docker, API-first design
• Sourced answers: every response includes page number + document
Ideal for: legal teams, compliance officers, project managers
handling large document repositories (contracts, specs, audits).
Live project: github.com/bouhaigoun/rag-pdf-azure
you ask plain-language questions to your PDF documents and get
precise, sourced answers — with page number and excerpt.
Built and tested on a real production stack:
→ 21 PDFs indexed · 185 chunks · Azure AI Search (France Central)
→ Flask API · Mistral API (GDPR-compliant, French LLM)
→ Docker · Terraform IaC · n8n workflow automation
What sets this apart:
• GDPR-native: data stays in France (Azure France Central + Mistral)
• Infrastructure as Code: fully reproducible with Terraform
• Production-ready: containerized with Docker, API-first design
• Sourced answers: every response includes page number + document
Ideal for: legal teams, compliance officers, project managers
handling large document repositories (contracts, specs, audits).
Live project: github.com/bouhaigoun/rag-pdf-azure
Machine Learning Tools
Azure Machine Learning, ChatGPT, GPT-3, PythonWhat's included
| Service Tiers |
Starter
$200
|
Standard
$400
|
Advanced
$700
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | ||
Model Validation/Testing | - | ||
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code |
Frequently asked questions
About Nabil
Azure Cloud Architect & AI Consultant | 10+ years IT Project Manager
Fleury-les-Aubrais, France - 3:42 am local time
I do. I spent 10+ years as IT Project Manager delivering complex programs for Orange, AGIRC-ARRCO and Thelem Assurance — managing requirements, compliance, delivery and production incidents.
Now I automate exactly those processes using AI agents and Azure cloud infrastructure.
What this means for you:
You get someone who understands your business constraints before writing a single line of automation — and delivers production-ready solutions, not demos.
What I build:
▸ Agentic AI Workflows
AI agents connected to your business tools (Notion, Outlook, Gmail) — meeting reports, task tracking, risk alerts, auto follow-ups.
Stack: n8n + Mistral API
▸ RAG Document Intelligence
Ask your business documents (contracts, RFPs, specs) questions in plain language. Get sourced answers with exact citations.
Stack: n8n + Flask + Azure AI Search + Blob Storage + Docker + Terraform
▸ Azure Security for SMBs
Entra ID, MFA, Conditional Access, RBAC — deployed via Terraform IaC. Audit-ready in days, not weeks.
Why I'm different:
✓ I managed IT programs before I automated them — I speak your language
✓ Compliance-first (GDPR, ISO 27001) — not an afterthought
✓ Everything versioned and documented — you own what I build
✓ Fixed price, clear scope, no surprises
Certifications: PRINCE2 | PSM I
Available: Remote only | 30+ h/week
Steps for completing your project
After purchasing the project, send requirements so Nabil can start the project.
Delivery time starts when Nabil receives requirements from you.
Nabil works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Setup
Define scope, access Azure environment, configure Blob Storage and AI Search index.
Document Ingestion
Upload and chunk PDFs, embed content into Azure AI Search (185+ chunks tested).