You will get Enterprise RAG: Chat with Your Private Data (Docs, DBs, PDFs)
Project details
Transform your fragmented data into a secure, conversational knowledge engine.
In 2026, the challenge isn't having data—it's accessing it instantly. I build Enterprise-Grade Retrieval-Augmented Generation (RAG) systems that allow your team to "chat" with private PDFs, SQL databases, and internal docs with 99% accuracy. Unlike generic chatbots, my systems are grounded in your factual data, eliminating hallucinations and ensuring total data sovereignty.
What sets this project apart:
Hybrid Search Architecture: I combine semantic vector search (Pinecone/Weaviate) with keyword indexing for pinpoint accuracy, even with technical jargon.
Privacy-First Design: Your proprietary info is never used for public model training. I implement secure API wrappers or local LLM options (Llama 3) for maximum security.
Production-Ready MLOps: I deliver a scalable pipeline with model monitoring, automated data chunking, and full documentation.
Zero-Hallucination Guardrails: I implement multi-step verification where the AI must cite specific source segments before answering.
Stop searching and start finding. Let’s turn your documentation into an automated expert.
In 2026, the challenge isn't having data—it's accessing it instantly. I build Enterprise-Grade Retrieval-Augmented Generation (RAG) systems that allow your team to "chat" with private PDFs, SQL databases, and internal docs with 99% accuracy. Unlike generic chatbots, my systems are grounded in your factual data, eliminating hallucinations and ensuring total data sovereignty.
What sets this project apart:
Hybrid Search Architecture: I combine semantic vector search (Pinecone/Weaviate) with keyword indexing for pinpoint accuracy, even with technical jargon.
Privacy-First Design: Your proprietary info is never used for public model training. I implement secure API wrappers or local LLM options (Llama 3) for maximum security.
Production-Ready MLOps: I deliver a scalable pipeline with model monitoring, automated data chunking, and full documentation.
Zero-Hallucination Guardrails: I implement multi-step verification where the AI must cite specific source segments before answering.
Stop searching and start finding. Let’s turn your documentation into an automated expert.
AI Algorithms
Autoencoder, Convolutional Neural Network, Gated Recurrent Unit, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Recurrent Neural Network, Regression Analysis, Transformer ModelAI Applications
AI Chatbot, AI Text-to-Image, AI-Generated Code, AI-Generated Video, Anomaly Detection, Conversational AI, Machine Translation, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, Microsoft 365 Copilot, NVIDIA AI Platform, PyTorch, Streamlit, TensorFlowAI Models
BLOOM, ChatGPT, DALL-E, GPT-3, GPT-4, GPT-J, LaMDA, LLaMA, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$299
|
Standard
$999
|
Advanced
$2,300
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 15 days |
Number of Revisions | 5 | 7 | 10 |
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 |
Frequently asked questions
6 reviews
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SS
Sunt Tare S.
Jun 6, 2026
Add functionalities
Mister Zia was the best for this project it was a long one but he made sure to make it work like it his and bade every functionality to work accordingly and properly and also assisted me in the whole process so I can understand the code aswell I can say that I learned more from him working on this project than what I learned in school
I recommend 100%
please you yourself a favor and hire Zia if you want the best service in the field
I recommend 100%
please you yourself a favor and hire Zia if you want the best service in the field
SS
Sunt Tare S.
May 26, 2026
AI-Powered Career Copilot Web App Development
Amazing experience working with Zia. Very professional, detail-oriented, and highly skilled developer. The AI Career Copilot project was delivered with excellent quality, clean functionality, and great communication throughout the whole process. Every feature and issue was handled quickly and professionally, and the final result exceeded my expectations. I definitely recommend working with him for complex AI and full-stack projects.
HB
Hanine B.
Apr 29, 2026
Psychic Platform – Chat & Call System Development
Advice when you choose freelancer always choose freelancer who have +100 reviews he ask more and more milestone for issues he created him self
HB
Hanine B.
Apr 29, 2026
Fix call billing issue & Psychci auto-disconnect bug ( socket/mern) and update homepage text
When I first hired him, he created the psychic platform with phone and chat features and I was satisfied at first. However, I later discovered that many essential features were missing — features that should have been included from the start. Every time I pointed something out, he would ask for an additional milestone and more money.
I had a very bad experience in the past with another developer who put a backdoor in my WordPress site and used it to spam my website, so I am cautious. If you plan to work with him, you need to be very clear and detailed about every single requirement upfront, and put everything in writing before starting.
And with experience always choose a developer with more then 100 reviews in his profile
I had a very bad experience in the past with another developer who put a backdoor in my WordPress site and used it to spam my website, so I am cautious. If you plan to work with him, you need to be very clear and detailed about every single requirement upfront, and put everything in writing before starting.
And with experience always choose a developer with more then 100 reviews in his profile
AS
Amos S.
Sep 4, 2025
Website Translation & Implementation
This is the second project Zia has successfully completed for us, and once again he delivered outstanding results. We are very happy with the project and the quality of his work. Zia is truly a multi-talented professional who not only has the technical skills but also thinks along with you as an entrepreneur, bringing valuable ideas and solutions to the table.
Working with him has been a great experience, and we look forward to moving into the next phase together. Highly recommended!
Working with him has been a great experience, and we look forward to moving into the next phase together. Highly recommended!
About Zia
Full-Stack Developer | AI SaaS, MVPs & AI Agents (RAG, Node.js, Python
77%
Job Success
Lahore, Pakistan - 1:26 pm local time
As a full-stack developer and solution architect with 8+ years of experience, I bridge legacy PHP and MySQL systems with modern Python and Node.js based AI platforms. Most projects I take on are either a new AI product built from scratch or an existing system that needs real rework before it can handle real users and real payments.
What I build
AI SaaS and spiritual tech: a birth chart analysis engine with dynamic PDF generation and real-time paid chat, billed per minute through Socket IO timers.
Government contract automation: a SAM.gov matching tool that scores opportunities by NAICS code and drafts proposals with Gemini, with Stripe, PayPal, and Payoneer built in for payments.
Ecommerce AI automation: computer vision that traces textile patterns for manufacturers, connected to Shopify and WooCommerce.
Career Copilot: resume upload, AI job matching, and a Gemini powered chatbot that gives real improvement tips.
Enterprise RAG and agents: LangGraph and CrewAI systems grounded in your private SQL, PDFs, and Notion data, running at 99% accuracy.
Payment infrastructure: Stripe, PayPal, and Mollie integrations for global SaaS billing, including per minute credit tracking.
Tech stack
Frontend: React, Next.js, Tailwind CSS, fully mobile responsive.
Backend: Node.js, PHP (Laravel and CodeIgniter), Python (FastAPI and Django).
AI: LangChain, LangGraph, OpenAI GPT-4o, Claude 3.5, and vector databases (Pinecone, ChromaDB).
Database: MongoDB, MySQL, PostgreSQL.
If you have data and a vision for what it should be doing for your business, I can build the system that connects them. Click Invite and let's talk about your project.
Steps for completing your project
After purchasing the project, send requirements so Zia can start the project.
Delivery time starts when Zia receives requirements from you.
Zia works on your project following the steps below.
Revisions may occur after the delivery date.
Data Auditing & Vector Database Architecture
I analyze your data structure to determine the best chunking strategy. Then, I set up the Vector Database (Pinecone/Weaviate) and define the embedding model to ensure fast, accurate retrieval with zero data leakage.
RAG Pipeline Development & LLM Integration
I build the retrieval pipeline using LangChain/LlamaIndex. I implement "Hybrid Search" to combine semantic and keyword results, then integrate your chosen LLM with custom system prompts to ensure factual, hallucination-free answers.