I will build a rag chatbot for your documents or website

I can work with PDFs, DOCX files, TXT files, Markdown, website pages, FAQs, SOPs, manuals, policies and selected database or API content. Please share a sample before ordering.

Yes. The chatbot can display the source document, page, section or retrieved passage depending on the data format and package.

Yes. Standard and Premium can include a website widget, branded web interface or API that your development team can integrate.

This gig primarily uses Retrieval-Augmented Generation. Your documents are indexed and retrieved when a user asks a question. Model fine-tuning is a separate service and is usually not required for document question answering.

Yes. I can build private-cloud or local Ollama-based setups when the required infrastructure and model capabilities fit your use case. Private deployment should be discussed before ordering.

I can work with OpenAI, Claude, Gemini, Llama, DeepSeek or Ollama. I will recommend a model based on accuracy requirements, privacy, latency and operating cost.

Yes. Source code is included in all packages. API keys, hosting accounts and paid third-party usage costs remain the buyer's responsibility.

Yes. Standard can include a basic update process, while Premium can include an admin document-upload and re-indexing workflow.

No responsible RAG system can guarantee zero errors. I use retrieval, citations, prompt controls and evaluation to reduce unsupported answers and make responses easier to verify.

I need your use case, target users, sample documents or website URL, approximate data volume, required integrations, privacy requirements, preferred hosting and expected chatbot behavior.