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Fix SIMD index links in SPLADE series parts 1 & 3

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Point to the actual posting_list.rs implementation instead of the
sparse-vectors article.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Evgeniya Sukhodolskaya
2026-06-04 11:43:21 +02:00
co-authored by Claude Sonnet 4.6
parent 9ab2af0542
commit 2d8e995a8f
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qdrant-landing/content/articles/sparse-embeddings-ecommerce-part-1.md
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@@ -132,7 +132,7 @@ client.query_points(
)
```
**Production-ready scaling.** Rust + [SIMD-optimized inverted index](https://qdrant.tech/articles/sparse-vectors/) with an on-disk option keeps RAM low even with 200+ active terms per doc across millions of products.
**Production-ready scaling.** Rust + [SIMD-optimized inverted index](https://github.com/qdrant/qdrant/blob/master/lib/sparse/src/index/posting_list.rs) with an on-disk option keeps RAM low even with 200+ active terms per doc across millions of products.
**No ANN approximation.** Sparse retrieval uses an [inverted index](https://qdrant.tech/articles/sparse-vectors/), the same data structure powering BM25. Results are exact - no recall tradeoffs from approximate nearest neighbor search.