I will build an ai chatbot with rag for your website


About this gig
I build AI chatbots and RAG-powered assistants for your website or web app.
Instead of relying only on the model's general knowledge, a RAG system retrieves relevant information from your own documents or knowledge base before answering.
Good for customer support, documentation, product info, internal knowledge bases, FAQs, SaaS apps and company sites.
How RAG works: your documents are processed into a searchable format. When a user asks a question, the system finds relevant content and passes it to the language model as context.
I build AI as part of a real application, not an isolated demo, so I can also handle the surrounding logic, database, auth, API integrations and deployment. I work with OpenAI, Claude and other compatible LLM APIs.
Process: identify the knowledge source, prepare the data, build retrieval and storage, connect the LLM, embed the interface, then test real questions and refine.
Important: no chatbot can guarantee perfect answers. Quality depends on the model, source material, retrieval and instructions.
Before ordering, tell me what the chatbot should do, where it will live, and what it should know.
Get to know Onur CAN
AI Products, SaaS and Automation Engineer
- FromTurkey
- Member sinceJun 2026
Languages
English
My Portfolio
FAQ
Can the chatbot use my PDFs or documents?
Yes, if the document format and project scope are suitable. PDFs, docs, web pages and structured data can all be used as sources.
Can you use Claude instead of OpenAI?
Yes. I can build the chatbot on Claude, OpenAI, or another compatible LLM API based on your preference and budget.
Can you embed it in my existing website?
Yes. The assistant can be added as a widget or component to an existing website, or built into a new page or app.

