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


About this gig
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.
Get to know Amaan
Full Stack AI Engineer, Enterprise RAG and SaaS Architect
- FromPakistan
- Member sinceJan 2023
- Avg. response time1 hour
- Last delivery1 year
Languages
Urdu, English
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FAQ
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.
