I will make ai chatbot with rag on your documents


About this gig
You have documents. Reports. Manuals. PDFs full of valuable information. And right now your team is either searching through them manually or not using them at all.
I build AI chatbots that read your documents and answer questions from them accurately using RAG (Retrieval Augmented Generation), not hallucination.
The difference between a good RAG system and a bad one is not the AI model. It's the pipeline. Chunking strategy, embedding quality, retrieval accuracy, reranking. I've built this in production. I know where it breaks and how to make it not break.
WHAT YOU GET:
Your documents uploaded and indexed into a vector database (Qdrant)
Semantic search that finds the right chunk, not just keyword matches
AI that answers from your actual content and says "I don't know" when the answer isn't there
FastAPI backend with clean /chat endpoint ready to integrate
Optional: full chat UI (Standard and Premium)
Optional: deployed and live (Standard and Premium)
WORKS WITH:
- Company knowledge bases
- Legal documents
- Product manuals and documentation
- Research papers
- Internal SOPs and policies
- Insurance reports and claims (my specialty see WizeDraft in portfolio)
Get to know Ibraheem
Full Stack AI Engineer
- FromPakistan
- Member sinceJan 2023
Languages
English
My Portfolio
FAQ
How accurate will the answers be?
Accuracy depends on document quality and chunking strategy. I use hybrid search and reranking on Standard and Premium to maximize accuracy. Basic is good for clean text documents.
What languages do you support?
English primarily. Other languages are possible, message me first.
How many documents can it handle?
Basic handles up to 10. Standard up to 50. Premium is scalable, message me for large document sets.
What AI model will you use?
Gemini or OpenAI depending on your preference and budget. You provide the API key, I build the pipeline.
Will I own the code?
Yes. Full source code included in all packages.

