msmarco-genqa

GioiaZheng

RAG-based search question answering system on MS MARCO with BM25 retrieval, FAISS indexing, and transformer reranking.

search-engine

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16 Stars

0 Forks

16 Watchers

Jupyter Notebook Language

mit License

91.5 SrcLog Score

Cost to Build

$2.7K

Market Value

$3.4K

How is this calculated?

Growth over time

3 data points · 2026-04-10 → 2026-04-24

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What is the GioiaZheng/msmarco-genqa GitHub project? Description: "RAG-based search question answering system on MS MARCO with BM25 retrieval, FAISS indexing, and transformer reranking.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.