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Dylan Couzon
2026-04-22 22:17:07 -04:00
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qdrant-landing/content/documentation/tutorials-search-engineering/retrieval-quality.md
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@@ -34,7 +34,7 @@ The tab reports average **precision@k**. The score is typically high but not alw
HNSW is a hierarchical graph where each node has a set of links to other nodes. The `m` parameter controls the number of edges per node: higher `m` means higher precision at the cost of more memory. The `ef_construct` parameter controls how many neighbours are considered during index building: higher `ef_construct` means higher precision at the cost of longer indexing time. Defaults are `m=16` and `ef_construct=100`. HNSW is a hierarchical graph where each node has a set of links to other nodes. The `m` parameter controls the number of edges per node: higher `m` means higher precision at the cost of more memory. The `ef_construct` parameter controls how many neighbours are considered during index building: higher `ef_construct` means higher precision at the cost of longer indexing time. Defaults are `m=16` and `ef_construct=100`.
For the full list of HNSW parameters, including on-disk storage and precision/memory trade-offs, see [Optimize Performance](/documentation/operations/optimize/). For the full list of HNSW parameters, including on-disk storage and precision/memory trade-offs, see [Optimize Performance](/documentation/ops-optimization/optimize/).
Toggle **advanced mode** in the Search Quality tab to tune these parameters inline. Raise `m` to 32 and `ef_construct` to 200, then run the evaluation again. Toggle **advanced mode** in the Search Quality tab to tune these parameters inline. Raise `m` to 32 and `ef_construct` to 200, then run the evaluation again.