You will get a Hallucination-Free RAG System with Citations
Top Rated
Top Rated
Project details
Stop building chatbots that hallucinate. Start building intelligent systems that cite their sources.
Most developers sell simple wrappers that guess answers. For production business use, you need accuracy, traceability, and security.
You will get a production-grade Retrieval-Augmented Generation (RAG) system engineered to ingest your specific knowledge base (PDFs, SQL, Notion) and return strict, verifiable answers.
My Architecture: The "Truth Loop"
Unlike standard bots, I implement a Retrieval-Validation workflow:
Ingest: Pipelines to clean, chunk, and embed data into high-dimensional vector space.
Retrieve: Hybrid Search (Keyword + Semantic) to pinpoint exact source text.
Generate & Cite: The AI answers and cites the specific document used.
Tech Stack:
Backend: FastAPI (Async), Pydantic (Validation).
Orchestration: LangChain / LangGraph.
Vector DB: Pinecone, Supabase (pgvector), ChromaDB.
LLMs: OpenAI, Anthropic, or Local models.
Why work with me?
I am an AI Systems & Integration Engineer. I don't just write scripts; I build scalable backends, secure API endpoints, and Dockerized containers ready for cloud deployment.
I build the architecture that makes AI reliable.
Most developers sell simple wrappers that guess answers. For production business use, you need accuracy, traceability, and security.
You will get a production-grade Retrieval-Augmented Generation (RAG) system engineered to ingest your specific knowledge base (PDFs, SQL, Notion) and return strict, verifiable answers.
My Architecture: The "Truth Loop"
Unlike standard bots, I implement a Retrieval-Validation workflow:
Ingest: Pipelines to clean, chunk, and embed data into high-dimensional vector space.
Retrieve: Hybrid Search (Keyword + Semantic) to pinpoint exact source text.
Generate & Cite: The AI answers and cites the specific document used.
Tech Stack:
Backend: FastAPI (Async), Pydantic (Validation).
Orchestration: LangChain / LangGraph.
Vector DB: Pinecone, Supabase (pgvector), ChromaDB.
LLMs: OpenAI, Anthropic, or Local models.
Why work with me?
I am an AI Systems & Integration Engineer. I don't just write scripts; I build scalable backends, secure API endpoints, and Dockerized containers ready for cloud deployment.
I build the architecture that makes AI reliable.
Machine Learning Tools
ChatGPT, NumPy, Python, SQL, Tesseract OCR, Vertex AIWhat's included
| Service Tiers |
Starter
$479
|
Standard
$1,136
|
Advanced
$2,473
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 21 days |
Number of Revisions | 1 | 2 | 5 |
Number of Model Variations | 1 | 2 | 4 |
Number of Scenarios | 1 | 2 | |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Deploy to Cloud (AWS/Azure/GCP)
+$300
Frontend Chat Interface (React/Next.js)
+$300
One-Hour Architecture Consulting
+$200Frequently asked questions
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SC
Sarah C.
Mar 19, 2026
Computational Tutoring and machine learning
Very good experience. Highly recommend!
AA
Anmar A.
Feb 3, 2026
Local LLM Infrastructure Optimization
I had the pleasure of working with Salah on a contract to optimize the local machine LLM, and the results were nothing short of fantastic. From the outset, Salah demonstrated a deep understanding of large language model architectures and the intricacies of hardware performance tuning.
PE
Peyman E.
Dec 9, 2025
Rl and Optimization
SC
Sarah C.
Sep 26, 2025
ABM tutoring
Great person to work with! He demonstrates excellent communication skills and a strong sense of work discipline. He is very quick with response time and has a great sense of collaboration. His meticulous attention to detail ensures consistently high-quality results and is very helpful with explaining and teaching new concepts. Highly recommend!
AK
Anthony K.
Jul 31, 2025
Multi Agent AI Intelligent Integration Developer Needed for Airtable and Supabase Manual
Great work from salah! Hes really dedicated to his work and provides amazing solutions for ai development and connections I would highly recommend for any of your online development needs
About Salah Eldin
AI Automation & Integration Expert | Custom AI Agents & RAG Chatbots
100%
Job Success
Bilbeis, Egypt - 11:56 pm local time
That gap between "works in a demo" and "works in production" is why most of my clients come to me after something else fell apart. I'm Salah Eldin, an AI engineer with a 100% Job Success Score and Top Rated status on Upwork, 9 projects, 750+ hours, and systems that are still running for the people I built them for.
What I do best:
AI Agents & Automation, Custom agents and multi-agent systems (LangGraph, n8n) that take over repetitive work, with human-in-the-loop approval so the AI never acts on anything important without your sign-off.
RAG Chatbots & Knowledge Systems, Assistants trained on your own documents that answer with citations instead of hallucinating, with strict data isolation so one user's data can never leak into another's.
Voice AI & Integrations, Low-latency voice agents and clean API integrations with OpenAI, Claude, and Gemini. I work natively in Arabic and English, which matters for the MENA market.
How I work: I obsess over the parts clients don't see, error handling, retries, the architecture that keeps your app responsive while the AI thinks. That's the difference between a system you trust and one you babysit. I'm also honest about fit, if I'm not the right person for your project, I'll tell you upfront.
If you're adding AI to your product or replacing a slow manual process with something that runs on its own, send me a message with what you're working on. I'll give you my honest take before you commit to anything.
Steps for completing your project
After purchasing the project, send requirements so Salah Eldin can start the project.
Delivery time starts when Salah Eldin receives requirements from you.
Salah Eldin works on your project following the steps below.
Revisions may occur after the delivery date.
Environment & Data Analysis
I will review your requirements, set up the secure development environment, and analyze your data structure to determine the best embedding strategy.
Ingestion Pipeline Development
I will build the scripts to clean, normalize, and "chunk" your raw data (PDFs/Docs/SQL) into machine-readable vector embeddings.