Browse categories
Explore
Fiverr Pro
English
$
USD
I will build a custom ai chatbot with rag for your pdfs and documents
Adeel Asghar
About this gig
Your answers are buried in PDFs, docs and wikis. I build a RAG chatbot that reads them and answers in plain language, with a citation to the exact source every time.
What you get:
- Your files (PDF, DOCX, TXT, Markdown, web pages) cleaned and split so retrieval actually works
- Vector search over your files, plus keyword search and reranking on the higher packages, so exact terms and meaning both count
- Answers grounded in your documents, with sources shown, and an honest "I don't know" when the answer isn't there
- A chat interface or a FastAPI endpoint you can plug into your site or app
- Clean Python code you own, with a README
Quality is measured, not guessed. I test on your own questions plus RAGAS-style relevance and faithfulness checks. In one of my builds (31 documents, 444 chunks), hybrid search with reranking gave 14 of 15 correctly grounded answers.
Good fits: support knowledge bases, internal policy Q&A, legal or research document search, course content.
Not sure which package? Message me your document types and I'll recommend one.
Get to know Adeel Asghar
Adeel Asghar
Full Stack AI Engineer
- FromPakistan
- Member sinceDec 2020
Languages
English
I'm a full-stack AI engineer. I build RAG chatbots over your documents, LangGraph agents that call your tools, n8n automations and OCR data extraction, and I ship them with a working interface and deployment. Co-founder and CAIO of Algoligence, and a dozen agentic AI projects built across RAG, multi-agent systems and GraphRAG. You get clean code you own and a short walkthrough. Every project starts with a quick scoping chat, so you know the plan before I write any code. Send me your use case and I'll tell you honestly if AI is the right fit.
FAQ
Which AI model will it use?
Whichever fits your budget and privacy needs: OpenAI, Anthropic Claude, Gemini or an open model. You supply the API key, so usage is billed to you directly, and switching models later is a small config change.
How do you stop it from making things up?
Answers are built only from retrieved passages, every reply shows its sources, and the bot says it doesn't know when your documents don't cover the question. I also run it against your own test questions before delivery.
How do you measure answer quality?
I run your own questions plus RAGAS-style checks for relevance and faithfulness, then report what passed and what failed. You see the results before delivery, not just a demo.
Can it read scanned PDFs, tables or images?
Text PDFs, DOCX, TXT, Markdown and web pages are standard. Scanned files need OCR and complex tables need extra parsing, so tell me up front and I'll scope it.
Do I own the code?
Yes. You get the full source code and a README. No lock-in, no subscription to me.
What does it cost to run after delivery?
Mostly LLM API usage plus a small server. It depends on traffic and model choice, and I'll give you an estimate during scoping.
