I will build an air gapped rag ai knowledge engine so your private data never leaks


Over deze dienst
Uploading proprietary legal contracts or healthcare records to ChatGPT is a compliance nightmare waiting to destroy your firm.
I build isolated, internal AI search engines. Using PostgreSQL with pgvector and a FastAPI backend, I engineer Retrieval-Augmented Generation (RAG) systems that instantly retrieve exact clauses from your private archives. Your data never leaves your localized environment. Zero data leakage.
What You Get:
- Secure vector embeddings of your proprietary PDFs.
- Blazing fast similarity search without costly third-party vector databases.
- A comprehensive compliance security audit.
Stop risking your clients' data on public interfaces. Let's build your private knowledge engine.
Maak kennis met Amaan
Full Stack AI Engineer, Enterprise RAG and SaaS Architect
- Afkomstig uitPakistan
- Lid sindsjan 2023
- Gem. reactietijd1 uur
- Laatste levering1 jaar
Talen
Urdu, Engels
Mijn portfolio
Andere AI-development diensten die ik aanbied
Veelgestelde vragen
Does our data get used to train public AI models?
Absolutely not. The architecture ensures your data is only used for localized retrieval context, completely isolated from base model training.
