You will get Enterprise RAG & Document Intelligence — AI-Powered Knowledge Base
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Top Rated
Project details
You will get a production-ready RAG (Retrieval-Augmented Generation) system that transforms your documents and knowledge bases into an intelligent, searchable AI assistant. With deep expertise in LLM orchestration, vector databases, and enterprise AI architecture, I deliver solutions that go beyond basic chatbots — your team gets accurate, context-aware answers grounded in your actual data, not hallucinations.
My approach covers the full stack: document ingestion pipelines that handle PDFs, databases, APIs, and wikis; optimized chunking and embedding strategies for maximum retrieval accuracy; and a polished chat interface your team can use from day one. Every system includes role-based access controls, citation tracking so users can verify sources, and comprehensive API documentation for seamless integration with your existing tools.
Whether you need an internal knowledge base for employee onboarding, a customer-facing support assistant, or a research tool that surfaces insights across thousands of documents — I architect and build it end to end. All code is clean, tested, and fully documented with deployment guides for your infrastructure.
My approach covers the full stack: document ingestion pipelines that handle PDFs, databases, APIs, and wikis; optimized chunking and embedding strategies for maximum retrieval accuracy; and a polished chat interface your team can use from day one. Every system includes role-based access controls, citation tracking so users can verify sources, and comprehensive API documentation for seamless integration with your existing tools.
Whether you need an internal knowledge base for employee onboarding, a customer-facing support assistant, or a research tool that surfaces insights across thousands of documents — I architect and build it end to end. All code is clean, tested, and fully documented with deployment guides for your infrastructure.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Text-to-Image, AI Text-to-Speech, Conversational AI, Natural Language Generation, Natural Language Understanding, Text RecognitionAI Development Language
PythonAI Tools
Hugging Face, PyTorchAI Models
BERT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$2,499
|
Standard
$5,999
|
Advanced
$9,999
|
|---|---|---|---|
| Delivery Time | 14 days | 21 days | 30 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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CA
Christiana A.
Jun 10, 2026
Discovery for ChatKYC
Clear, effective, experienced and great quality work!
IK
Irina K.
May 18, 2026
30 minute consultation
I needed Agency AI consultation, Volodymyr provided all the needed expertise and technical details to the required depth.
HS
Harshal S.
Apr 23, 2026
30 minute consultation
AG
Andy G.
Apr 22, 2026
60 minute consultation
Vlad was extreamly easy to speak to. He was able to translate my ideas and concepts into a detailed specification for my project. His communication and attention to details is excellent. He is clearly very experienced and knowladgble person who is able to contibute and add value to the process.
FB
Florian B.
Mar 24, 2026
Lebenswerk.ai
Working with Volodymyr on the Lebenswerk.AI app has been an excellent experience from start to finish. He is highly skilled across the full stack — Android, iOS, back-end development, Azure hosting, and ChatGPT integration — and consistently delivers thoughtful, reliable solutions.
What stood out most to me is how solution-oriented he is. He does not just implement tasks; he actively thinks ahead, makes smart recommendations, and suggests improvements that add real value to the project. His technical expertise is obvious, but just as important is his ability to understand requirements quickly and turn them into practical, high-quality results.
If you are looking for a developer who is knowledgeable, proactive, and genuinely invested in building the best possible product, I can absolutely recommend him.
What stood out most to me is how solution-oriented he is. He does not just implement tasks; he actively thinks ahead, makes smart recommendations, and suggests improvements that add real value to the project. His technical expertise is obvious, but just as important is his ability to understand requirements quickly and turn them into practical, high-quality results.
If you are looking for a developer who is knowledgeable, proactive, and genuinely invested in building the best possible product, I can absolutely recommend him.
About Volodymyr
Full-Stack AI Developer | AI Agents, RAG & Chatbots | SaaS MVPs
100%
Job Success
Lviv, Ukraine - 2:31 am local time
⭐ PROVEN RESULTS
One AI SaaS product I built now serves 10,000+ users.
Lebenswerk.ai, a cross-platform AI life story app (Android, iOS, back end, Azure): shipped end to end, 5.0 stars, client called me "highly skilled across the full stack."
MVP for a pay-per-message product, delivered as a true partner, 5.0 stars: "thinks outside the box like an actual partner."
$200K+ earned building AI SaaS, MVPs and AI agents in Healthcare, Real Estate, Fintech and Marketplace.
🤖 WHAT I BUILD
AI agents and agentic systems, AI chatbots and RAG assistants, plus automation and workflows that run in production, not in a demo. I wire AI into the product (WhatsApp, CRM, internal tools) and wrap it in a clean AI SaaS or MVP that holds up under real load. Recent work: an AI SaaS chatbot with AI agent workflows, and a MERN SaaS AI chatbot app.
⚒️ MY STACK
Front end: React, Next.js, TypeScript, JavaScript, HTML5, plus Vue, Angular and PHP when needed.
Back end: Node.js, Python, FastAPI, REST APIs, PostgreSQL, AWS and Azure. Mobile with React Native (Android, iOS).
AI: AI agents, RAG pipelines, LLMs, OpenAI and Anthropic Claude API, LangChain, chatbots, Generative AI, NLP and Machine Learning.
✅ HOW WE START
Let's start with a short call or a small first milestone, so you can see the fit before committing to the full build. Tell me what you are building and I'll be honest about the best way to ship it.
Steps for completing your project
After purchasing the project, send requirements so Volodymyr can start the project.
Delivery time starts when Volodymyr receives requirements from you.
Volodymyr works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Architecture Design
Analyze your data sources, define chunking strategy, select embedding model and vector database, design system architecture and API endpoints.
RAG Pipeline Development
Implement document ingestion, chunking, embedding pipeline, vector store integration, and retrieval chain with semantic search and hybrid ranking.