Self-hosted AI product search for e-commerce — embeddings + reranker trained on 427k real Amazon relevance judgments. Runs on CPU. No per-query fees.
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Updated
Jul 23, 2026 - Python
Self-hosted AI product search for e-commerce — embeddings + reranker trained on 427k real Amazon relevance judgments. Runs on CPU. No per-query fees.
Hybrid retrieval pipeline for e-commerce search, scored against Amazon's ESCI human relevance judgments: 8,956 queries, graded nDCG@10, paired significance tests on every stage delta.
A JavaScript implementation of the ESCI software simulator used in Introduction to The New Stastistics (by Geoff Cumming and Robert Calin-Jageman)
Reproducible IR benchmark for Hinglish / code-mixed product search on Amazon ESCI: BM25 vs multilingual dense vs LLM reranking, evaluated with nDCG/MRR + failure analysis.
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