Two-stage e-commerce search: Matryoshka fine-tuning + BM25/SPLADE/dense hybrid retrieval + cross-encoder reranking. Recall@200 = 0.81, nDCG@20 = 0.54 on Amazon ESCI.
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Updated
Apr 19, 2026 - Jupyter Notebook
Two-stage e-commerce search: Matryoshka fine-tuning + BM25/SPLADE/dense hybrid retrieval + cross-encoder reranking. Recall@200 = 0.81, nDCG@20 = 0.54 on Amazon ESCI.
Local AI workbench for embeddings, summarization, and OpenAI Agent SDK–compatible workflows. Supports Gemma models, GPT-OSS tool-calling, hardware acceleration, caching, and rate limiting, plus cloud-offloaded, persona-driven summarization through Gemini.
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