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RAG systems, applied ML tools and product engineering work. Each one names the constraint it was built against.

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ArchivedMar 2024

A teaching assistant that answers from the lecture notes

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An open source teaching assistant, built as a USC master's capstone, that drafts answers to course-forum questions from the lecture notes, with hybrid retrieval, a reranker, and an evaluation harness that scores its own retrieval.

AI/ML · Open Source

Highlights
  • Hybrid BM25 + vector retrieval, so exact course terms and paraphrased questions both find their passage
  • Six model providers behind one interface — OpenAI, Anthropic, Gemini, Cohere, Ollama and HuggingFace — with Ollama for a fully local setup, and token cost tracked per provider
  • A RAGAS-style LLM-as-judge harness that scores retrieval and answer quality instead of eyeballing it