I will develop ai chatbot web app, rag chatbot, openai assistant with nextjs and react
About this gig
Need an AI chatbot that does more than give generic answers? I build custom AI chatbot web apps that understand your business, documents, website content and users.
WHAT I CAN BUILD:
- AI chatbot web app
- OpenAI / ChatGPT chatbot
- Custom AI assistant
- RAG chatbot
- Knowledge base chatbot
- PDF & document Q&A
- Website-trained chatbot
- FAQ & customer support bot
- Lead generation chatbot
- Conversational AI
- Context-aware chat
- Chat history & memory
- Vector database integration
- API & database integration
- Responsive React/Next.js chatbot
WHY CHOOSE ME:
- Custom-built around your use case
- Clean, responsive and practical user experience
- Scalable AI, RAG and API integration
Whether you need a website chatbot, customer support chatbot, document chatbot, RAG chatbot, or AI assistant inside your web app, I can build it around your workflow and goals.
Send your use case, data source and required features, and let's build a reliable AI chatbot that gives users useful answers and supports your business.
I can also connect your chatbot to APIs, databases or existing web applications when required. Complex features and larger AI systems can be discussed for a custom offer now.
Get to know Dirk Ostermann
Build AI Web Apps, SaaS and Chatbots That Solve Real Business Problems
- FromGermany
- Member sinceSep 2026
- Avg. response time2 hours
Languages
English, German
My Portfolio
FAQ
Can you build the chatbot into my existing website or web app?
Yes. I can integrate the chatbot into an existing website or web app and match its interface. Share your current stack and I’ll confirm the cleanest integration approach before we start.
Can the chatbot use my PDFs, documents, website or business data?
Yes. I can connect your content through RAG so the chatbot retrieves relevant information from your knowledge base before answering. This is ideal for document Q&A, support, FAQs and internal knowledge.
Will the chatbot always give accurate answers?
RAG can ground responses in your supplied sources, but no AI system can guarantee perfect answers. I can add clear instructions, retrieval controls and fallback behavior so the bot avoids confidently inventing information.
What is your process from start to finish?
1) Review your use case and data. 2) Plan the chat flow and architecture. 3) Build the UI and AI logic. 4) Connect RAG/APIs/data. 5) Test real questions. 6) Fix issues, deploy and hand over the finished chatbot.
Do I need to provide an OpenAI API key?
For production OpenAI usage, you normally provide your own API key and billing account, keeping API costs under your control. If you don’t have one yet, I can guide you through the setup.
What results can I realistically expect from the chatbot?
You’ll receive a working chatbot built around the agreed use case—not a generic demo. Its quality depends on your model, prompts, source data and integrations, and I test the agreed flows before delivery.
How do I know you’ll build what I actually need?
I scope the chatbot around your users, data, workflow and required features before development. I don’t force every project into the same template, and I’ll flag anything outside the agreed scope before building it.
