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You will get AI chatbot with RAG using ASP.NET Core and OpenAI

Yasser M.Status: Offline
Yasser M.
Preview image

Let a pro handle the details

Buy Web Application Programming services from Yasser, priced and ready to go.
Yasser M.Status: Offline
Yasser M.
Preview image

Let a pro handle the details

Buy Web Application Programming services from Yasser, priced and ready to go.

Project details

Build a powerful AI chatbot with RAG (Retrieval-Augmented Generation) using ASP.NET Core and OpenAI. This service allows users to upload PDFs and documents, perform semantic search, and chat with their data using modern AI technologies.

What sets this project apart is the combination of scalable .NET backend architecture, vector search integration, and production-ready API design. I focus on building clean, secure, and extensible solutions using technologies such as Semantic Kernel, OpenAI embeddings, vector databases, and Swagger-documented APIs.

The solution is designed for real-world business use cases including knowledge bases, internal assistants, document search systems, customer support AI, and enterprise AI applications.
Programming Languages
Python, ASP.NET, C#

What's included $200

These options are included with the project scope.

$200
  • Delivery Time 5 days
  • Number of Revisions 0
    • Design Customization
    • Content Upload
    • Responsive Design
    • Source Code
Yasser M.Status: Offline

About Yasser

Yasser M.Status: Offline
Full Stack Developer
Cairo, Egypt - 4:48 pm local time
I am a Computer Science graduate and AWS Certified Solutions Architect with 2 years of experience in backend development using .NET technologies. I specialize in building scalable and maintainable applications using C#, JavaScript, TypeScript, Node.js, and cloud platforms such as AWS and Azure.
I also have experience working with AI technologies, including LLMs, RAG systems, and AI agents. I enjoy designing efficient backend architectures, automating workflows, and turning complex ideas into practical solutions. My projects include translation management platforms, educational systems, and AI-powered applications.

Steps for completing your project

After purchasing the project, send requirements so Yasser can start the project.

Delivery time starts when Yasser receives requirements from you.

Yasser works on your project following the steps below.

Revisions may occur after the delivery date.

Analyze the project requirements and understand the chatbot use case

Set up the ASP.NET Core backend architecture and API structure

Review the work, release payment, and leave feedback to Yasser.