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Merge pull request #50972 from rschu1ze/docs-embedded-link
Docs: Fix embedded video link
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b1eacab44a
@ -131,7 +131,6 @@ The `GRANULARITY` parameter determines how many ANN sub-indexes are created. Big
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sub-indexes, up to the point where a column (or a column's data part) has only a single sub-index. In that case, the sub-index has a
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"global" view of all column rows and can directly return all granules of the column (part) with relevant rows (there are at most
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`LIMIT [N]`-many such granules). In a second step, ClickHouse will load these granules and identify the actually best rows by performing a
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brute-force distance calculation over all rows of the granules. With a small `GRANULARITY` value, each of the sub-indexes returns up to
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`LIMIT N`-many granules. As a result, more granules need to be loaded and post-filtered. Note that the search accuracy is with both cases
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equally good, only the processing performance differs. It is generally recommended to use a large `GRANULARITY` for ANN indexes and fall
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@ -152,7 +151,7 @@ This type of ANN index implements [the Annoy algorithm](https://github.com/spoti
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space in random linear surfaces (lines in 2D, planes in 3D etc.).
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<div class='vimeo-container'>
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<iframe src="//www.youtube.com/watch?v=QkCCyLW0ehU"
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<iframe src="//www.youtube.com/embed/QkCCyLW0ehU"
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width="640"
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height="360"
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frameborder="0"
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