I will build an ai chatbot trained on your website, pdfs and database


About this gig
Want a chatbot that actually knows your business - not one that politely makes things up?
MS Data Science, IBM Data Science Professional. I build custom RAG (Retrieval-Augmented Generation) chatbots with Claude and a vector index (FAISS/Chroma): the bot reads your site, PDFs and database, and answers strictly from that material - with the source passage cited beside every answer.
That citation is the difference. If the answer is not in your docs, the bot says so instead of guessing. That is what makes it safe to put in front of customers.
What you get:
- Ingestion pipeline for PDFs, web pages and database records
- Vector search index (FAISS or Chroma) tuned to your content
- Source citations on every response, so answers are checkable
- Clean embed into your site or internal tools
- Documentation + a recorded setup walkthrough
Proof: a RAG support bot I built cut first-response time from about 4 hours to ~90 seconds in real use - grounded answers, not guesses.
Stack: Claude, Python, FAISS/Chroma, FastAPI.
Place your order - drop your documents in the requirements form and I will get started. Want a fit-check first? Message me 2-3 sample docs.
Get to know Nisar Khan
AI Agent Chatbot and App Developer MS Data Science IBM Certified
- FromPakistan
- Member sinceDec 2022
- Avg. response time1 hour
Languages
Urdu, Pashto, English
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FAQ
How do you stop it hallucinating?
It only answers from your documents and shows the exact source passage behind each answer; if nothing relevant is found it says "I don't have that" instead of guessing.
Is my data safe?
You choose where the index and documents live — your server or a cloud account you own. I don't retain copies after delivery unless you ask me to host it. NDA available.
Do I need my own LLM API keys, and what about delivery/revisions?
You control usage/billing with the provider — typical small-business usage runs ~$15–$60/month. Delivery + revisions are per package (1/3/5 revisions; 4–10 days; extra-fast available).
What documents can it read, and can I update them later?
PDFs, Word, web pages, help-center articles, spreadsheets, database tables — most text-based content (send a sample and I'll confirm). Standard/Premium include an admin view to add or replace documents — the index re-updates automatically, no developer needed.
How accurate will answers be?
Depends on how well your docs cover the questions asked. I run a calibration pass on a sample set and tune retrieval until answers are consistently grounded.
What if it gives a wrong answer after launch?
That's what revisions and the Care Plan are for — I review logged questions and retune; most issues trace to thin source material, which I flag early.
Ongoing maintenance?
Yes — a monthly Care Plan (~$279) covers re-indexing as docs change, answer-quality reviews, and small additions.
You have no reviews yet — why trust you?
Fair question. My credentials are publicly verifiable (MS Data Science; IBM Data Science Professional) and the "4h to 90s" result is from a real deployment (an internal pilot, not a promise for your data). The Basic tier is a low-risk pilot, and Fiverr's resolution centre protects your order.
Response speed, data residency and ownership?
I reply within a few hours — overlapping UK/EU mornings and US-East afternoons, async-first via Fiverr. The index and your documents stay on infrastructure you control (GDPR-compatible; written data-handling note on request); you own all code and deliverables; NDA available.
Want the bot to take action, not just answer?
That's an agent layer — see my AI agents gig; if your source content is still scanned PDFs/images, my data-extraction gig digitizes it first.

