A chatbot is only useful if it actually knows what it's talking about.

Most generic chatbots give vague answers because they are not 
connected to your real data. I build AI chatbots that are — 
using RAG pipelines, your documents, your FAQs, and your 
business logic as the knowledge source.

The result is a chatbot that can answer specific questions about 
your product, guide users through processes, handle support queries, 
and escalate when needed.

What I build:
Website chatbots connected to your business content.
Document chatbots that answer from PDFs and knowledge bases.
Customer support bots that reduce manual ticket volume.
Internal assistant bots for teams and staff.

Every chatbot includes conversation memory, fallback handling, 
and a clean API layer so it can be embedded anywhere.

I use LangChain for orchestration, RAG for knowledge grounding, 
and FastAPI to expose the chatbot as a service your frontend 
can connect to in any framework.

If you are handling repetitive queries manually every day, 
this is the fastest way to automate that without losing quality.