I will build a private self hosted ai chatbot from your own documents and data


Informazioni su questo servizio
Stop copy-pasting context. Your AI should already know.
Your knowledge is scattered Notion, PDFs, buried files. Every time you open Claude or GPT, you start from zero. That's an architecture failure.
I build private, self-hosted RAG systems that turn your documents into a permanent, searchable brain. No cloud fees. No data leaving your server.
What I build:
Ingest PDFs, Notion, Markdown, URLs into one corpus
Semantic search finds answers even when phrased differently
Every response cites the exact source document
Auto-sync: new files indexed on schedule
Runs without Ollama (lightweight) or fully air-gapped with local LLM your choice
For: consultants, researchers, founders, and developers who need an AI that actually knows their context.
Why me: I built this for myself first. ChatKnowledge SagaIDE a production Knowledge OS, Qwen embeddings, 200+ projects, zero cloud. Three iterations. I know where these systems fail. I don't build demos; I build engines.
Stack: Python · LangChain · Qdrant/pgvector · Qwen · Docker
Message me before ordering to discuss your data sources.
Scopri di più su Mohammad RJ
Algorithmic Trading Bot and AI Automation Expert
- DaTurchia
- Membro daset 2022
- Tempo di risposta medio1 ora
Lingue
Persiano, Inglese
Altri servizi della categoria Sviluppo di chatbot offerti da me
FAQ
Is my data private? Does it go to the cloud?
Your documents are processed and stored on your own server. The only external call is to the LLM API (Claude/OpenAI) — which you control via your own API key. No third party stores your data.
Can I use a fully local model so nothing leaves my server?
Yes. I can deploy with Ollama (Llama 3, Mistral) — everything stays on your machine. Mention this when ordering.
What if I add new documents after delivery?
Standard and Premium include auto-ingestion — add a file, the system picks it up automatically. Basic requires a manual re-run (one simple command).
How is this different from ChatGPT with file upload?
ChatGPT's file upload is session-only — it forgets everything when you close the tab. This system permanently indexes your knowledge base and answers from it across all sessions, forever.
Can multiple people use the same system?
Basic and Standard are single-user. Premium supports multi-user with role-based access.
Do you work with languages other than English?
Yes — RAG works with any language. The LLM response language follows your query language.
What embedding model do you use?
By default, open-source multilingual models (e.g. Qwen) running locally — no external embedding API, no cost per token, full privacy.

