I will build a custom ai chatbot or rag application with python fastapi


About this gig
Need a custom AI chatbot that answers using your business data instead of giving generic responses?
I will build a secure and scalable AI chatbot, RAG assistant, or LLM-powered application tailored to your use case.
With 7+ years of software engineering experience, I can deliver:
- Custom AI chatbots and assistants
- RAG systems for PDFs, websites, databases, and APIs
- Python and FastAPI backends
- LangChain and LangGraph workflows
- OpenAI, Claude, Gemini, Llama, and other LLM integrations
- Vector database integration and semantic search
- React or Next.js chat interfaces
- Authentication and role-based access
- Third-party API and business-system integrations
- Docker and cloud deployment
You will receive clean, maintainable source code, documentation, and clear communication throughout the project.
Every AI project has different data, security, integration, and infrastructure requirements. Message me before ordering so I can review your needs and recommend the right package.
Get to know Ali H
Senior Full Stack AI Engineer
- FromPakistan
- Member sinceAug 2026
Languages
English
FAQ
Can you build a chatbot using my documents?
Yes. I can build a RAG assistant that retrieves answers from PDFs, websites, databases, APIs, or internal business content.
Can you integrate it with my existing application?
Yes. I can integrate the AI solution with React, Next.js, Node.js, Python, or other systems through APIs.
Which AI models can you use?
I can work with OpenAI, Claude, Gemini, Azure OpenAI, AWS Bedrock, Llama, and suitable open-source models.
Will I receive the source code?
Yes. Clean source code and setup documentation are included according to the selected package.
Can you deploy the application?
Yes. Deployment is included in the Premium package and can be purchased as an extra for other packages.
Should I contact you before ordering?
Yes. Please contact me first because scope depends on your data sources, integrations, security, interface, and deployment needs.

