I will build a rag ai system to chat with your documents and data


Over deze dienst
Want to chat with your documents, PDFs, or internal data? I build custom RAG (Retrieval-Augmented Generation) systems using Python, FastAPI, and LangChain so your AI answers accurately from YOUR data instead of making things up.
I've built a real RAG assistant that answers questions by retrieving the right context from structured and unstructured sources before generating a response improving accuracy and reducing hallucinations.
What you get:
- A RAG pipeline tuned to your documents and use case
- Document retrieval that surfaces the most relevant context
- A clean API (and optional frontend) to query your data
- Full source code and documentation
I work with leading LLM providers (GPT, Claude, and more) and choose the best fit for your needs and budget.
Tell me about your documents and what you want to ask them I'll recommend the right setup. Fast responses, ready to start now.
Maak kennis met Haris A
AI Backend Engineer
- Afkomstig uitPakistan
- Lid sindsjun 2026
- Gem. reactietijd2 uur
Talen
Engels
Veelgestelde vragen
What kind of documents can it use?
PDFs, Word docs, text, websites, databases, and more. Tell me your sources and I'll confirm the best approach.
Do I get the source code?
Yes — full source code and documentation are included.
How do you reduce wrong answers (hallucinations)?
The system retrieves relevant context from your data before answering, so responses stay grounded in your documents.
