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Bilingual health answers grounded in local knowledge

TengLaafi

A bilingual assistant for tropical health and medicinal plants, grounded in curated research and local knowledge.

Current state

Research prototype focused on grounded bilingual retrieval and locally relevant knowledge.

Preview of TengLaafi

Case study

Problem

Generic health assistants rarely combine tropical-health research, medicinal-plant knowledge, and bilingual access for a local context.

Approach

TengLaafi grounds answers in a curated knowledge base instead of relying on an unconstrained language-model response.

Engineering

FastAPI exposes the service while LangChain, ChromaDB, and Mistral-7B support retrieval and answer generation.

Project facts

Technology

PythonFastAPILangChainChromaDBMistral-7B
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