I will build rag ai chatbot and be your knowledgebase expert


Level 2
About this gig
Are you tired of your team asking the same questions over and over, even though the answers are sitting in some document somewhere? Or customers waiting hours for support because nobody can find the right information. That is the problem I solve.
I build AI Rag chatbots that actually know your business. Not a generic bot that sends people in circles. One that reads your actual documents and gives real answers backed by your real content.
WHAT MAKES it DIFFERENT
Most chatbots are just search with a friendlier face. Mine use RAG, Retrieval-Augmented Generation. The bot pulls the exact relevant piece of your content first, then answers from that. No guessing. No hallucinations. Just your knowledge, delivered instantly.
YOU GET:
A chatbot trained on your documents and data Accurate answers with source citations Conversation memory across the whole chat Clean chat UI or embeddable widget Full source code, documented and yours to keep.
WORKS GREAT FOR
Customer support, internal knowledge bases, legal and compliance Q&A, SaaS onboarding, HR, finance and real estate.
Every delivery includes a working demo and 7 days of support. Message me before ordering if your setup is complex.
Get to know Usama Khan
Content Marketer, Technical Writer, Knowledgebase and AI Chatbot Architect
Level 2
- FromPakistan
- Member sinceAug 2021
- Last delivery3 weeks
Languages
English

G&H Automation
Information Technology (IT)
My Portfolio
FAQ
1. What exactly is a RAG AI chatbot?
A RAG AI chatbot reads your actual documents before answering. Responses come from your content, not from guesswork or outdated training data.
2. How is this different from regular chatbot development?
Most chatbot development uses pre-trained models that guess. Custom RAG AI pulls answers directly from your documents. Way more accurate, way less frustrating
3. What documents can the AI knowledgebase chatbot read?
PDFs, Word docs, CSVs, websites, Notion exports. If it has readable text, the AI knowledgebase chatbot can work with it.
4. Do I need technical knowledge after delivery?
No. I handle all the custom chatbot development. You get a clean interface your team can use without touching a single line of code.
5. How does AI retrieval actually work?
AI retrieval finds the most relevant chunks of your content first, then passes them to the language model. That is how it stays accurate.
6. Can you build a chatbot for my website?
Yes. I deliver either a standalone chat interface or an embeddable widget that sits right inside your existing website or app. Your call.
7. Will the RAG AI chatbot make things up?
No. That is the whole point. The RAG AI chatbot only responds from your documents and tells users when it does not know something.
8. What is included in your custom chatbot development service?
Full RAG pipeline, vector database, API backend, chat UI, source citations, clean documented code and 7 days of support after delivery.
9. Which AI models do you use for custom RAG AI builds?
OepnAI, Claude, Gemini, DeepSeek is my default for custom RAG AI projects. Can also use Mistral, Llama 3, and others based on your budget.
10. How long does chatbot development take?
Depends on complexity. A basic chatbot development project takes 5-7 days. A full multi-source AI knowledgebase chatbot with deployment is closer to 15-d1 days

