I will build a private flutter ai app with local rag and vector database


Über diesen Service
Struggling with high OpenAI API bills or privacy risks from cloud AI wrappers?
I build secure, cross-platform Flutter mobile apps and web platforms with private RAG (Retrieval-Augmented Generation) and custom vector DBs.
WHAT IS INCLUDED:
- Custom RAG Pipeline: Ingest PDFs and docs with Pinecone/ChromaDB.
- Multi-Model AI: OpenAI, Claude, or local LLMs via LangChain.
- Cross-Platform App: Clean Flutter UI for iOS, Android, and web.
- SaaS Core: Role-based auth, Stripe billing, and usage monitoring.
- Turnkey Delivery: Source code, API documentation, and deployment guide.
WHY THIS OFFER IS DIFFERENT:
Generic gigs sell basic API wrappers. I engineer secure, document intelligence systems built for data privacy and zero vendor lock in.
PROCESS:
- Architecture & Scope
- Vector DB & RAG Setup
- Frontend & SaaS Core Build
- Deployment & Handover
WHO IT IS FOR:
Founders and B2B teams building document QA tools or niche AI SaaS apps.
NOT INCLUDED:
Model training from scratch or third-party API subscription costs.
Ready to launch your AI platform? Message me today to discuss your scope.
Lerne Rhodas kennen
AI Agent Developer, Custom AI Agents, Automation And Workflows
- AusGroßbritannien
- Mitglied seitSept. 2026
Sprachen
Englisch, Italienisch
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FAQ
How do you prevent multi-tenant data leaks in the vector DB?
How do you prevent multi-tenant data leaks in the vector DB? I implement namespace isolation and user-level metadata filters within the vector index, ensuring users can only search their own uploaded documents.
