I will engineer a graph rag knowledge graph and sovereign ai corporate brain


About this gig
Standard Vector RAG is failing your enterprise. If your flat vector similarity searches return fragmented, shallow results or hallucinate connection points across your unorganized corporate files, you have hit a hard technical limit. Traditional data entry configurations & plain spreadsheets cannot answer deep, conceptual questions crossing multiple business units.
Whether you need to fix a fragile Lovable App, upgrade a Lovable MVP, or harden prototypes from Bolt.new or Replit AI, I build the industrial-grade data pipelines your platform needs.
Core Architectural Layers:
- Semantic Data Modeling: Mapping complex corporate relationships into high-performance graph networks.
- n8n Expert Orchestration Pipelines: Designing automated chunking-to-node data extraction layers that sync in real-time.
- SQL & Vector Convergence: Deep Supabase Integration utilizing Supabase Auth & Row Level Security (RLS) to keep private data isolated.
- Data Sovereignty AI: Building complete on-premise or Self Hosted data pipelines to ensure zero exposure to public model training layers.
- Frontend Hardening: Optimizing data flow for React applications, React JS, Softr webapps, & mobile frameworks.
Get to know Ajilo Rose
Hardening Fragile AI Workflows and SaaS Infrastructure for Enterprise Scale
- FromNigeria
- Member sinceMay 2026
- Avg. response time1 hour
Languages
English, German, Spanish, French
Other Software Development Services I Offer
FAQ
What is the difference between standard RAG and Graph-RAG?
Standard RAG only matches keywords or plain text semantic vector similarity; Graph-RAG maps the actual connection points and deep relational links between entities across all files.
Can this integrate with frontend tools like Lovable, Replit AI, or Bolt.new?
Yes. As a Lovable Expert and Front End Developer, I specialize in taking raw, vibe-coded apps and hardening their backends into production-ready architectures.
Will my corporate data be safe?
Yes. We enforce strict Row Level Security (RLS) and Supabase Auth protocols within your dedicated database setup so that your intellectual property remains private.
Can it process unstructured data sources?
Absolutely. The automated pipelines ingest, clean, and run data collection from Google Drive, Slack, internal servers, and emails automatically.
Does the system provide citations?
Yes. Every single response includes verifiable, direct links to source documents for 100% auditability inside an executive dashboard.
Does this improve my Google PageSpeed?
By offloading complex semantic processing from the frontend to a dedicated backend website infrastructure, your application's loading speed improves dramatically.
What if I want a completely self-hosted option?
We can configure a fully sovereign network architecture that runs entirely independent of third-party public cloud dependencies.

