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

A RAG chatbot retrieves answers from your data before responding, so it gives accurate, source-based replies instead of generic or made-up ones. It's the difference between a bot that sounds smart and one that's actually reliable.

PDFs, Word and Google docs, spreadsheets, website and help-center pages, product catalogs, and structured databases. If your knowledge lives in a file or a system, it can feed the assistant.

Yes. It ships as an embeddable widget, an internal tool, an API, or a workspace integration. Tell me the destination and I build for it.

Grounding is the core of the build. The assistant answers from retrieved passages, and when a question falls outside your content it says so or routes to a human. Higher tiers add reranking and tighter guardrails for accuracy-critical use.

Which AI models do you use? I work with OpenAI (ChatGPT/GPT models) and Anthropic Claude, connected through LangChain. I'll recommend the best one for your use case based on accuracy, speed, and cost.

For most projects, yes you'll set up your own account so usage stays under your billing and you keep full control. It takes a few minutes and I'll guide you through it.

A representative sample of your content and your target platform are enough to start. Timelines follow the package you pick, from a focused build in days to a full multi-source system in a few weeks.