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PRESIDENT11111/sovereign-agentic-ai-indaba

Domaine:

natural language processing

Type de record:

project
Créateur:
PRE
Hôte:
Hands-on tutorial for building sovereign AI agents using African datasets (Deep Learning Indaba 2026) # sovereign-agentic-ai-indaba Hands-on tutorial for building sovereign AI agents using African datasets (Deep Learning Indaba 2026) # Building Sovereign AI Systems with Agentic AI This repository contains materials for a tutorial submitted to the Deep Learning Indaba 2026. ## 🌍 Overview This project demonstrates how to build agentic AI systems using African datasets. Participants will learn how to: - Build Retrieval-Augmented Generation (RAG) systems - Create tool-using agents - Design AI systems grounded in local context ## 🧪 Demo The notebook shows how to build a Rwanda Policy Agent that: - Answers questions using local policy data - Performs reasoning across documents - Generates actionable insights ## 📁 Dataset Located in: data/rwanda_policy_docs/ ## 🚀 Goal To empower developers in Africa to build sovereign AI systems using local data and open tools.

Visit

github.com

Licenses

MIT

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