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Domain-specific chatbot for METU-IE Summer Practice program using RAG with Google Gemini API
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This is a zero-star, zero-fork, 5-day-old personal project with no adoption signal. It applies standard RAG patterns (retrieval + LLM generation) to a hyper-local use case (one university program). The technical approach is commodity: wrap domain documents, embed them, retrieve on query, feed to Gemini. No novel architecture, no moat, no ecosystem. The README suggests this is a student project built to solve a specific institutional problem. Frontier labs have zero incentive to target this—it's niche to one program at one Turkish university. The RAG pattern itself is well-established (see LangChain, LlamaIndex, etc.). Even if the implementation is clean, there's no defensibility: someone could replicate this exact bot in a weekend using the same tools. The project has not crossed the threshold of any meaningful adoption, community, or novel technical contribution. Composite risk is low because frontier labs don't compete in hyperlocal chatbot space, but defensibility is minimal because the work is entirely derivative application of existing RAG frameworks.
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