I will engineer a sovereign corporate brain using rag and vector databases


About this gig
Own your intelligence by architecting a Sovereign Corporate Brain.
Your company's data is currently trapped in thousands of siloed PDFs and emails. I engineer Institutional Knowledge Bases using Vector Database RAG (Retrieval-Augmented Generation) technology.
I provide an Internal AI Search engine; your Corporate Brain, that delivers cited answers based only on your private data. I ensure Data Sovereignty AI: your data is never used to train public models.
- Semantic Intelligence: Utilizing Supabase Vector Databases for meaning-based search logic.
- Cited Accuracy: Every response includes direct links to source documents for 100% auditability.
- Data Preparation: Secure ingestion from Google Drive, Slack, and internal servers.
- MCP Integration: Utilizing Model Context Protocol for advanced data pipelines and Custom LLM Grounding.
Get to know Ajilo Myde
Systems Architect and AI Engineer
- FromNigeria
- Member sinceMay 2026
- Avg. response time1 hour
Languages
English, German, French, Spanish
My Portfolio
FAQ
What is a RAG system?
It stands for Retrieval-Augmented Generation, allowing AI to answer questions using your specific private files.
Is my data safe from public training?
Yes, I prioritize Data Sovereignty AI so your intellectual property remains private.
Does it provide citations for answers?
Every response includes direct links to your internal source documents for auditability.
Can it ingest data from Slack?
Yes, I build pipelines to ingest data from Slack, Google Drive, and local servers.
What is a Vector Database?
It is a specialized database that stores data as "vectors" for high-speed semantic search.
Can the AI learn my company's specific jargon?
Yes, I use Custom LLM Grounding to ensure the AI speaks your company's language.
What is MCP?
The Model Context Protocol allows for advanced, real-time data synchronization with AI models.

