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kanungle
2026-06-23 09:59:42 -07:00
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qdrant-landing/content/articles/sparse-embeddings-ecommerce-part-3.md
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@@ -4,7 +4,7 @@ short_description: "Evaluate fine-tuned SPLADE with Qdrant and boost results wit
description: "Part 3 of a 5-part series on fine-tuning SPLADE sparse embeddings for e-commerce search. Index products in Qdrant, run retrieval benchmarks, and implement ANCE-inspired hard negative mining for a 28% improvement over BM25."
preview_dir: /articles_data/sparse-embeddings-ecommerce-part-3/preview
social_preview_image: /articles_data/sparse-embeddings-ecommerce-part-3/preview/social_preview.jpg
weight: -198
weight: 30
author: Thierry Damiba
author_link: https://github.com/thierrydamiba
date: 2026-03-09T00:00:00.000Z