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Educational reference implementation and boilerplate code for building Retrieval-Augmented Generation (RAG) pipelines, originally designed for Vector Institute training bootcamps.
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This project is a pedagogical resource rather than a software product. With a velocity of zero and a low star count, it serves as a historical or educational snapshot of RAG patterns. The functionality it demonstrates has since been commoditized by frontier labs (e.g., OpenAI Assistants API) and robust orchestration frameworks like LangChain or LlamaIndex.
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