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Fix ANCE references across SPLADE series

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Replace "ANCE" with "ANCE-inspired" throughout since the implementation
uses Qdrant's exact inverted index, not ANN. Reference the original
ANCE paper (Xiong et al., arxiv 2007.00808) in Part 3.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Evgeniya Sukhodolskaya
2026-06-04 11:42:36 +02:00
co-authored by Claude Sonnet 4.6
parent f4d989b1cb
commit 9ab2af0542
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qdrant-landing/content/articles/sparse-embeddings-ecommerce-part-1.md
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@@ -163,7 +163,7 @@ Over the next four articles, we'll walk through the full pipeline:
- [**Part 2: Training on Modal**](/articles/sparse-embeddings-ecommerce-part-2/) - Loading the Amazon ESCI dataset, creating the SPLADE model, configuring loss functions with sparsity regularization, and running GPU training with persistent checkpoints.
- [**Part 3: Evaluation and Hard Negative Mining**](/articles/sparse-embeddings-ecommerce-part-3/) - Indexing products in Qdrant, running retrieval benchmarks (nDCG, MRR, Recall), implementing ANCE hard negative mining loops, and analyzing what fine-tuning actually changes in the model.
- [**Part 3: Evaluation and Hard Negative Mining**](/articles/sparse-embeddings-ecommerce-part-3/) - Indexing products in Qdrant, running retrieval benchmarks (nDCG, MRR, Recall), implementing ANCE-inspired hard negative mining loops, and analyzing what fine-tuning actually changes in the model.
- [**Part 4: Specialization vs Generalization**](/articles/sparse-embeddings-ecommerce-part-4/) - Cross-domain evaluation on Wayfair and Home Depot data, multi-domain training, when to specialize vs generalize, and production deployment guidance.