yuelutech/rwanda-agri-nlp-glossary

Open resources for Ask Loudi, a rice agriculture AI assistant for Rwanda. # Ask Loudi — Rice Agriculture AI Resources for Rwanda Open resources for multilingual agricultural NLP, rice-farming terminology, RAG prompt design, and evaluation datasets for Rwanda-focused agricultural AI. This repository hosts selected open resources for **Ask Loudi**, a rice agriculture AI assistant for Rwanda — including multilingual agricultural terminology, RAG prompt templates, evaluation sets, and documentation notes. Ask Loudi is powered by **Loudi Agri** and supported by **Yuelu Tech Limited**. ## About Ask Loudi Ask Loudi is an AI agricultural assistant focused on rice farming in Rwanda. It answers practical questions in three languages and offers two response modes for different needs. - Focused on rice agriculture in Rwanda - Supports English, Chinese (中文), and Kinyarwanda - Designed for practical agricultural advisory use cases - **Fast** mode for quick Q&A - **Deep** mode for more technical or contextual questions - Connected to Loudi Agri's Rwanda rice localization and agricultural knowledge work - Supported by Yuelu Tech Limited as the AI and digital infrastructure partner ## What This Repository Contains | Resource | Description | Status | |---|---|---| | Agricultural Glossary | Kinyarwanda–English–Chinese rice and agriculture terminology | Planned | | RAG Prompt Templates | Prompt structures for source-grounded agricultural advisory | Planned | | Evaluation Sets | Multilingual Q&A pairs for testing agricultural AI responses | Planned | | Documentation Notes | Public notes on terminology, system design, and evaluation methods | Planned | The repository currently contains this README. Resources will be published here as they are prepared. ## What Is Not Included - Proprietary application code - Private deployment configuration - Full internal knowledge base - Confidential project documents - API keys, credentials, or model configuration files ## Design Principles - Rwanda-first agricultural context - Rice-farming focus - Multilingual …