You will get an AI-powered .NET app using Semantic Kernel & local LLMs (RAG pipeline)
Project details
I build AI-powered .NET applications that let you chat with your own data using Retrieval-Augmented Generation (RAG). Using Semantic Kernel, Ollama, and SQL Server, I design and deliver a fully working pipeline — from document ingestion and vector embeddings to an ASP.NET Core API your frontend can plug into. You get clean, documented, production-ready code with a README so your team can maintain it easily.
Programming Languages
HTML & CSS, ASP.NET, C#Coding Expertise
Cross Browser & Device Compatibility, Performance Optimization, DesignWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 7 days | 30 days | 59 days |
Number of Revisions | 2 | 2 | 5 |
Number of Pages | 5 | 5 | 4 |
Design Customization | |||
Content Upload | |||
Responsive Design | |||
Source Code | - | - |
Frequently asked questions
About Ibrahim
Asp Net Engineer
Zefta, Egypt - 5:09 pm local time
I'm a detail-oriented and motivated software engineer specialized in ASP.NET, with a strong focus on backend development using C#, MVC, RESTful APIs, and Blazor. I help clients build secure, scalable, and high-performance web applications that solve real-world problems.
Whether you need a clean backend architecture, seamless API integration, or a responsive Blazor front end — I’m here to bring your vision to life with precision and clarity.
Steps for completing your project
After purchasing the project, send requirements so Ibrahim can start the project.
Delivery time starts when Ibrahim receives requirements from you.
Ibrahim works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & Architecture
Gather use case details, define the data sources, and design the RAG pipeline architecture
Data Ingestion & Embeddings
Chunk and embed documents using nomic-embed-text, store vectors in SQL Server