I will build a rag chatbot that cites sources from your documents


About this gig
Most AI chatbots make things up. This one can't.
I build RAG (Retrieval-Augmented Generation) chatbots that answer strictly from YOUR documents and cite the exact passage behind every claim. If your files don't cover a question, it says so instead of guessing.
What you get:
- Upload your PDFs, docs, or knowledge base
- Every answer links back to its source passage full transparency, zero hallucination
- Built on a production RAG pipeline: chunk embed retrieve cite
- Powered by Gemini embeddings + LLM (GPT/Claude available on request)
- Clean, embeddable chat UI or API deploys to your existing site/app
Who this is for: research teams, legal/compliance, internal knowledge bases, customer support docs, or anyone who needs AI answers they can actually verify.
Message me your use case and I'll tell you which package fits before you order. Let's build something your users can trust.
Get to know Mehtab A.
Agentic AI Developer, Multi Agent Systems, RAG Chatbots, AI MVPs
- FromPakistan
- Member sinceApr 2026
- Avg. response time1 hour
Languages
English, Urdu
FAQ
Q: Can it hallucinate or make up an answer?
A: No — if the answer isn't in your documents, it says so. Every claim links to its source passage.
Q: What file types and how many documents?
A: PDFs by default; Basic covers 1 document (~20 pages), Standard/Premium support multiple via persistent vector DB.
Q: Can this integrate into my existing app/website?
A: Yes, that's the core service — send your stack in requirements.
Q: Do you provide source code?
A: Included on Standard/Premium. Basic is hosted-only.

