I will build a custom rag chatbot trained on your documents and data

Your PDFs (or sample set), what users should be able to ask, and any privacy constraints. If the bot must run fully in your environment, say so upfront.

Yes—when using RAG, I can return answers with citations/snippets pointing to the relevant sources, so users can verify.

Yes. I can containerise the service (Docker) and provide deployment guidance. If you want me to deploy, you’ll provide the target environment details.

Yes. If you prefer local inference, I can design the pipeline for a local model (subject to your hardware constraints).

PDFs by default; DOCX/Markdown/HTML can be added. If you have unusual formats, include a sample for validation first.

By grounding answers in retrieved passages and enforcing answer rules (e.g., “answer only from context”). No system can guarantee zero hallucinations, but RAG dramatically improves groundedness.

Your safest option is running ingestion and inference inside your infrastructure. If any third‑party API is used, we’ll align on what data is sent and what must remain local.

This Gig can include a simple demo UI (e.g., Streamlit) or API-only delivery. Website integration is available in higher packages