You will get a RAG system so users can chat with your documents and get sourced answers
Project details
Your documents hold the answers your team and customers keep asking for. I turn them into an assistant that replies in seconds, in plain language, and shows the exact passage it used - so every answer is checkable.
I am a senior engineer with 7+ years building production software. I build RAG systems properly: documents are chunked and embedded, stored in a vector database, and the model answers only from the retrieved context, with source citations. If the answer is not in your documents, it says so instead of inventing one.
What you get: a working assistant connected to your content, a clean chat interface, deployment, the source code, and short documentation so your team can maintain it. Works with PDFs, Word files, text, websites and knowledge bases. OpenAI or Claude - your choice.
I work async and communicate clearly in writing. Message me before ordering with a short description of your documents and I will confirm the right tier and timeline.
I am a senior engineer with 7+ years building production software. I build RAG systems properly: documents are chunked and embedded, stored in a vector database, and the model answers only from the retrieved context, with source citations. If the answer is not in your documents, it says so instead of inventing one.
What you get: a working assistant connected to your content, a clean chat interface, deployment, the source code, and short documentation so your team can maintain it. Works with PDFs, Word files, text, websites and knowledge bases. OpenAI or Claude - your choice.
I work async and communicate clearly in writing. Message me before ordering with a short description of your documents and I will confirm the right tier and timeline.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Text-to-Image, Image Processing, Object DetectionAI Development Language
PythonAI Tools
Azure OpenAI, Hugging FaceAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$400
|
Standard
$900
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 5 days | 9 days | 16 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 |
Frequently asked questions
About George
Senior AI Integration & Backend Engineer | Go, Next.js, OpenAI/Claude
Yerevan, Armenia - 12:34 pm local time
On the backend I build fast, reliable systems in Go (gRPC, REST APIs, Stripe/payments, multi-tenant architecture) and ship complete products with Next.js and React on the front end. My recent work includes a real-time AI voice-assistant platform and a multi-tenant fitness SaaS.
I work async and communicate clearly in writing. I ship in small, reviewable steps, keep you updated, and I'm straightforward about scope and timelines. If you need AI features or a solid backend delivered without drama, send me a message.
Steps for completing your project
After purchasing the project, send requirements so George can start the project.
Delivery time starts when George receives requirements from you.
George works on your project following the steps below.
Revisions may occur after the delivery date.
Index your documents and build the assistant
I process and embed your documents, set up retrieval with citations, build the chat interface, test it against your example questions, then deploy it and hand over the code with short docs.