You will get RAG document search for your .NET or SaaS application
Project details
You will get RAG document search for your .NET, SaaS, or business application. I can build AI-powered search over your documents, knowledge base, reports, tickets, orders, products, or internal files using OpenAI, Azure OpenAI, embeddings, and vector search. The solution can include document upload, chatbot/Q&A, source-based answers, and integration with your existing .NET application, database, or API.
Programming Languages
JavaScript, ASP.NET, C#Coding Expertise
Localization, Performance Optimization, SecurityWhat's included $750
These options are included with the project scope.
$750
- Delivery Time 15 days
- Number of Revisions 4
- Number of Pages 5
21 reviews
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WS
Will S.
Dec 1, 2025
Redesign of Existing Ecommerce Website - ASP.NET Core / SQL Server
It has been a pleasure working with Igor and his team.
They have faithfully replicated the Figma website mockup in their work.
They are easy to communicate with and responsive to your requests.
The quality of their work is very high.
They have faithfully replicated the Figma website mockup in their work.
They are easy to communicate with and responsive to your requests.
The quality of their work is very high.
CO
Chad O.
Apr 25, 2024
C# / SQL Development work for Backend
Igor was able to take over the project and complete it successfully, and supply additional resources when our project needed more work.
Igor and TwinCore are an amazing resource, and if you have development work I'd highly recommend them.
He's knowledgeable, capable of producing great code, and solving complex problems.
Igor and TwinCore are an amazing resource, and if you have development work I'd highly recommend them.
He's knowledgeable, capable of producing great code, and solving complex problems.
XM
Xciting M.
Nov 3, 2023
NopCommerce Expert - fix issues on customized website
VK
Vladimir K.
Apr 10, 2023
Orchard Core Bootstrap Theme upgrade
If you want quality work, don't look any further. Igor is a full-stack developer that can solve any problem.
SW
Shane W.
Sep 4, 2022
Orchard core module development
The project has been completed on time and within budget. It is well managed and the code delivered is of good quality.
Igor is a good communicator and very easy to work with. I highly recommend him.
Igor is a good communicator and very easy to work with. I highly recommend him.
About Igor
AI Agent Developer | Python, LangChain, RAG, .NET
Kyiv, Ukraine - 7:41 am local time
I also have 15+ years of production .NET experience with C#, ASP.NET Core, APIs, databases, cloud systems, integrations, logistics software, performance optimization, and legacy modernization.
Numbers:
- $80K+ earned on Upwork
- 23 Upwork jobs
- 1,100+ Upwork hours
- 15+ years in software development
- 50+ delivered software projects
I can help with:
- AI agents using Python, LangChain, OpenAI, Anthropic, and Azure OpenAI
- RAG over documents, tickets, orders, products, reports, and knowledge bases
- AI document search, semantic search, data extraction, and summarization
- LLM workflows with validation, business rules, and human review
- AI features inside existing .NET / ASP.NET Core applications
- ASP.NET Core APIs, SaaS platforms, admin panels, and business systems
- Legacy .NET Framework, ASP.NET MVC, WebForms, and VB.NET modernization
- SQL performance optimization, background jobs, queues, caching, and integrations
- Logistics software: TMS, WMS, order management, rate engines, shipment tracking, and carrier APIs
For the AI/RAG part, I can use Python/LangChain. For production backend, APIs, admin panels, and enterprise integration, I can use .NET / ASP.NET Core.
Tech stack:
Python, LangChain, OpenAI, Anthropic, Azure OpenAI, RAG, embeddings, vector search, .NET, C#, ASP.NET Core, Blazor, SQL Server, PostgreSQL, MongoDB, Redis, EF Core, Dapper, Azure, AWS, RabbitMQ, Kafka.
Steps for completing your project
After purchasing the project, send requirements so Igor can start the project.
Delivery time starts when Igor receives requirements from you.
Igor works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements and data review
I review your application, documents, data sources, file types, search goals, and integration requirements.
RAG architecture setup
I define the RAG workflow, AI provider, embeddings, vector search, document processing, and integration approach.