I will build a private rag chatbot with your documents and citations

Turn your PDFs, policies, manuals, research, or internal files into a reliable AI chatbot that answers from your content and shows citations.

I will build a custom RAG (retrieval-augmented generation) chatbot or knowledge assistant designed around your documents, users, and business workflow. The goal is accurate, grounded answers instead of generic AI responses.

Your solution can include:

Document ingestion and knowledge-base setup

Semantic search, embeddings, and vector retrieval

Source citations and grounded responses

Prompt guardrails and low-confidence fallbacks

Conversation starters and branded instructions

Testing against real questions and retrieval tuning

Optional API integrations or custom actions

You will receive a working chatbot, tested document retrieval, configuration guidance, and a clear handover. I can work with GPT, LangChain, Llama, Python, and suitable vector databases depending on your privacy, hosting, and scale requirements.

Please message me before ordering if you have more than 150 documents, sensitive access requirements, or need a fully self-hosted deployment.