I will build an ai chatbot trained on your documents using rag

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Mohammed Ahmed

About this gig

Need an AI chatbot that can answer questions from your documents, PDFs, company knowledge base, or internal data?


I will build a custom Retrieval-Augmented Generation (RAG) chatbot that can search your data and provide accurate, context-aware answers.


What you will get:


AI chatbot trained on your documents


PDF and knowledge base support


Vector database integration (Qdrant)


FastAPI backend


Context-aware responses using RAG


Clean and scalable architecture


Source-aware retrieval


Documentation and setup guidance


Technologies I work with:


FastAPI


LangChain


LangGraph


Qdrant


PostgreSQL


Redis


Next.js


Use cases:


- Company knowledge base assistant


- Internal team chatbot


- Document search assistant


- Customer support knowledge assistant


- Research assistant


Please contact me before ordering so we can discuss your project requirements and choose the best solution for your needs.

Get to know Mohammed Ahmed

Mohammed Ahmed

Full Stack Developer Next js, TypeScript, Node js

  • FromEthiopia
  • Member sinceMar 2026
  • Avg. response time1 day
  • Languages

    English, Amharic
I’m a full stack developer focused on building modern, scalable web applications. I work with Next.js, TypeScript, Node.js, and Express to create fast and reliable systems. I’ve built real-world projects including e-commerce platforms, real-time chat apps, CRM app and secure authentication systems using Firebase and JWT. I enjoy solving problems, fixing bugs, and improving application performance. Whether it’s frontend issues, backend logic, or API integration, I aim to keep solutions clean and easy to maintain. I’m always open to discussing new ideas or helping improve existing projects.