You will get a custom RAG AI chatbot trained on your documents with cited answers
Project details
You will get a production RAG chatbot trained on YOUR documents - one that answers questions with citations, so every answer is accurate and traceable. No hallucinations, no guesswork.
If your team wastes time digging through PDFs, contracts, manuals, or reports, I'll turn those documents into an AI assistant your team can simply ask - and trust, because every answer links back to the exact source and page.
Why clients hire me:
• 100% Job Success and $50K+ earned on Upwork
• Founder of a live AI SaaS — I build for your business outcome, not just the code
• Recent 5-star RAG, LLM, and document-AI projects delivered on time
What you get: a working chatbot trained on your docs, cited answers, hybrid retrieval for real accuracy, a clean chat interface or API, and cloud deployment with a walkthrough so you can use it right away.
Tech: Python, LangChain, LangGraph, OpenAI & Claude APIs, Pinecone/pgvector, FastAPI, Docker, AWS.
Not sure which tier fits? Message me with what you're trying to do and I'll tell you honestly what's worth building.
If your team wastes time digging through PDFs, contracts, manuals, or reports, I'll turn those documents into an AI assistant your team can simply ask - and trust, because every answer links back to the exact source and page.
Why clients hire me:
• 100% Job Success and $50K+ earned on Upwork
• Founder of a live AI SaaS — I build for your business outcome, not just the code
• Recent 5-star RAG, LLM, and document-AI projects delivered on time
What you get: a working chatbot trained on your docs, cited answers, hybrid retrieval for real accuracy, a clean chat interface or API, and cloud deployment with a walkthrough so you can use it right away.
Tech: Python, LangChain, LangGraph, OpenAI & Claude APIs, Pinecone/pgvector, FastAPI, Docker, AWS.
Not sure which tier fits? Message me with what you're trying to do and I'll tell you honestly what's worth building.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Gradio, Hugging Face, PyTorch, StreamlitAI Models
ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$450
|
Standard
$1,200
|
Advanced
$2,800
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | |||
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | ||
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | - | - | - |
Source Code |
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hZ
hady Z.
Jun 11, 2026
AI Content Automation Coach
1st class professional that I love working with at all time.
KS
Kheira S.
May 30, 2026
RAG PROJECT PART 2
Excellent work on the RAG and LLM implementation. Delivered high-quality results, communicated clearly, and met all project requirements. Highly recommended!
MB
Manon B.
Apr 9, 2026
PostgreSQL Database Structuring & Python Application Development
It is very pleasant to work with Djellab, he is attentive and flexible. I recommend him.
KS
Kheira S.
Feb 22, 2026
RAG Development for LLM Fine-tuning
Excellent work. Delivered a complete RAG solution on time with great quality and communication.
MB
Manon B.
Feb 19, 2026
Python Developer – Automated Document Processing & Classification for DCE
About Djellab
AI Agents & Automation Developer | RAG, LLM & Full-Stack | Founder
100%
Job Success
Montreal, Canada - 10:59 am local time
I'm a full-stack developer with deep AI expertise, which means you get one person who can design the model, build the backend, and ship the app - no handoffs, no gaps.
What I build for clients:
• AI Agents & Multi-Agent Systems — LangChain, LangGraph, CrewAI; tool-calling, memory, orchestration
• AI Automation & Workflows — n8n, Make, Zapier + OpenAI/Claude; connect your CRM, email, Slack, docs so work runs itself
• RAG & Knowledge Assistants — chat over your documents/data with accurate, cited answers (vector DBs, hybrid retrieval)
• LLM Fine-Tuning & Integration — OpenAI, Anthropic Claude, Gemini, Llama; prompt engineering, evals, cost/latency optimization
• Full-Stack AI Products & MVPs — Python/FastAPI backends, clean databases, cloud deployment (AWS/GCP/Azure), Docker, CI/CD
Why clients hire me:
✅ 100% Job Success Score and $60K+ earned on Upwork
✅ Founder of a real, deployed AI SaaS — I think about your business outcome, not just the code
✅ Recent 5-star work: agentic RAG systems, document-processing automation, a high-performance LLM inference engine, and a 150-hour PostgreSQL + Python app
Tech I work with daily: Python, FastAPI, LangChain, LangGraph, OpenAI & Claude APIs, MCP, Pinecone/pgvector, Hugging Face, PyTorch, TensorFlow, Docker, AWS, n8n, SQL, React/Next.js.
If you need an AI agent, an automation that saves hours every week, or a production-ready AI feature built properly the first time, send me a message or invite me to your job - I reply within hours and I'll tell you honestly what's worth building.
Steps for completing your project
After purchasing the project, send requirements so Djellab can start the project.
Delivery time starts when Djellab receives requirements from you.
Djellab works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & document review
I review your documents and example questions, confirm scope, the LLM choice, and where the chatbot will live.
Build the RAG pipeline
I ingest and chunk your documents, generate embeddings, and set up the vector database with hybrid retrieval for accuracy.