I will build a private rag system, qna, review, flag docs and company knowledge base


About this gig
Want your documents, manuals, or internal knowledge to be instantly queryable by AI? I build custom RAG systems that let you chat with your own data privately, accurately, and at scale.
What I build:
- PDF, DOCX, TXT, Markdown Document with video and YouTube link
- Strictly retrieval-based answers no hallucination, every answer cites the source.
- Vector embeddings with ChromaDB
- Semantic search with context-aware retrieval
- Local LLM via Ollama fully private, no API cost, runs on your server
- Cloud LLM support OpenAI, Claude, Gemini (optional, switchable live)
- QnA mode with source citations and Review mode for structured analysis
- Self-hosted deployment your data never leaves your server
- Admin panel for LLM, API, document and user management and RAG settings
- Fine-tuned prompt engineering for your domain.
Why work with me:
I have built and deployed self-hosted RAG platforms from scratch including multi-user systems with auth, upload approval, file sharing and RAG parameter tuning.
Message me before ordering.
Get to know Asif M.
Data and AI Systems Engineer, Automation Architect
- FromBangladesh
- Member sinceNov 2020
- Last delivery2 months
Languages
English
My Portfolio
Other Software Development Services I Offer
FAQ
What types of documents I can use?
PDF, DOCX, TXT, Markdown Document with video and YouTube link.
Will my data stay private?
The entire system can be self-hosted on your Hosting. No data is sent to third parties unless you choose a cloud LLM.
How accurate are the answers?
Accuracy depends on document quality and chunking strategy. I will optimize both during setup and include retrieval testing. Q&A mode is strictly retrieval-based, the AI only answers from your documents, no hallucination.
Can multiple users use the system?
Yes.
Can I update or add documents later?
Yes.

