I will build a rag chatbot for your documents with source citations

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alisajjid
A
alisajjid
Ali S.

About this gig

I build a RAG chatbot for your documents with source citations. RAG means searching your documents before generating an answer, so users can inspect the supporting sources.


Basic: up to 3 selectable-text documents / 30 total pages, local web chat, source references, 10 agreed test questions, source code and setup notes. No login, ongoing document synchronization or hosted deployment.

Standard: up to 20 documents / 200 pages, indexed retrieval, chat and a source viewer.

Premium: up to 40 documents / 400 pages, source uploads, basic login, testing and deployment to your account.


I use OpenAI or Claude with React/Next.js. All packages cover one language and use case, source code, setup notes and a fallback for unsupported questions. Basic includes 1 revision; Standard and Premium include 2.


Send sample documents and example questions before ordering. Documents must contain selectable text. OCR, custom integrations and fine-tuning need a separate quote. API usage and hosting are paid through your accounts. AI accuracy depends on source quality and is tested on agreed questions.


See Knowledge Copilot in my portfolio.

Get to know Ali S.

Ali S.

AI Engineer for Document Automation and Web Apps

4.9(9)
  • FromPakistan
  • Member sinceMar 2017
  • Avg. response time1 hour
  • Last delivery8 years
  • Languages

    English
I help businesses turn documents and repetitive workflows into practical software. I build Python APIs, document extraction systems, knowledge chatbots with source citations, and React web applications. My stack includes FastAPI, Django, React, Next.js, PostgreSQL, and AWS. You can expect clear milestones, tested code, source delivery, and straightforward handover notes. Send a sample document or feature brief, your current stack, and the result you need; we can start with a focused paid pilot.

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