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用于UMRI信息学论文指南的高级RAG流水线结合RAGAS评估

An advanced RAG pipeline to query and evaluate the UMRI Informatics Thesis Guidebook. Powered by LlamaParse, Qdrant, NVIDIA NIM, and cross-encoder re-ranking. Features Prompt Engineering (CoT vs Non-C…

作者:anisadwisww · 语言:en

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简介

An advanced RAG pipeline to query and evaluate the UMRI Informatics Thesis Guidebook. Powered by LlamaParse, Qdrant, NVIDIA NIM, and cross-encoder re-ranking. Features Prompt Engineering (CoT vs Non-CoT) and rigorous pipeline evaluation using RAGAS metrics (Faithfulness, Answer Relevancy, Context Precision, Context Recall).

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