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Fiverr Pro
English
$
USD
I will build a rag chatbot that only answers from your documents
Wajahat H.
About this gig
ChatGPT doesn't know your documents. I build RAG systems that answer questions from your own data with source citations. No hallucinations.
What You Get
- Q&A tool (deployable application)
- Source code (full ownership)
- Live demo (test before committing)
- Documentation (step-by-step guides)
- Cloud AI integration (optional)
How It Works
- Send your documents (PDF, Word, text, spreadsheets)
- I build your RAG system (parsing, chunking, embeddings, vector storage, retrieval)
- You test with live demo, revisions included
Why Choose Me
- Technical depth without jargon - explained in plain language
- Accuracy is the priority - citations on every answer, says "I don't know" when needed
- You own what I build - no subscriptions, full source code upon delivery
Get to know Wajahat H.
Wajahat H.
Python and Flask developer building small web apps and tools
- FromPakistan
- Member sinceJan 2020
- Avg. response time1 hour
Languages
English
Hi - I’m Wajahat. I build small web apps and backend tools with Python and Flask. I focus on clean, readable code, simple deployment, and practical results. I use JSON/SQLite for persistence and minimal JavaScript (Fetch) for responsive UIs when needed. Send a short description of the problem and I’ll propose a simple plan.
What I deliver:
- a working Flask app or script
- source code with clear instructions
- a short explanation of how to expand the project later
- regular communication, realistic scope, and delivery on time
I look forward to building something useful with you.
My Portfolio
FAQ
How do I know the answers actually come from my documents?
Every answer includes direct citations showing exactly which document and page the information came from. You can verify each response against your source files. If a response doesn't cite a source, it means the system is acknowledging it couldn't find relevant information, never making things up.
What happens when the system can't find an answer in my documents?
The system is designed to say "I don't know" rather than guess. You'll receive a clear message that no relevant information was found, along with which document sections were searched. If this happens frequently, I can fine-tune the indexing or suggest adding more relevant source material.
Can I run this without sending my documents to cloud APIs?
Yes, choose the self-hosted option and all processing happens locally on your machine. Your documents never leave your infrastructure. I also offer a hybrid approach: keep sensitive documents local while using cloud AI for non-confidential queries.
What document formats do you support?
The system processes PDF, Microsoft Word (.docx), plain text (.txt), Markdown (.md), and HTML files.
Do I get full ownership of the source code?
You receive 100% ownership of all custom code with no ongoing licensing fees. The package includes full source code, setup documentation, and a working demo so you can modify, extend, or hand off to your own team.
How long does it take to build my Q&A system?
Most builds complete in 7-14 days depending on document complexity and customization needs. You'll receive a timeline estimate after I review your document set and requirements. Simple projects with clear sources can finish in under a week.
Can I add or update documents after the system is built?
Yes, the system supports incremental updates. You can add new documents or revise existing ones without rebuilding everything. I provide clear instructions and a simple script for re-indexing updated files.
What if the answers aren't accurate enough?
I offer a revision phase to fine-tune performance, adjusting chunking strategies, tweaking retrieval parameters, or adding example documents to improve accuracy. We define success criteria together upfront so both parties agree on what "good enough" looks like.
