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Updated readme [skip ci]
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@@ -812,7 +812,7 @@ Yes, pgvector uses the write-ahead log (WAL), which allows for replication and p
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#### What if I want to index vectors with more than 2,000 dimensions?
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You can use [half-precision indexing](#half-precision-indexing) to index up to 4,000 dimensions or [binary quantization](#binary-quantization) to index up to 64,000 dimensions. Another option is [dimensionality reduction](https://en.wikipedia.org/wiki/Dimensionality_reduction).
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You can use [half-precision vectors](#half-precision-vectors) or [half-precision indexing](#half-precision-indexing) to index up to 4,000 dimensions or [binary quantization](#binary-quantization) to index up to 64,000 dimensions. Other options are [indexing subvectors](#indexing-subvectors) (for models that support it) or [dimensionality reduction](https://en.wikipedia.org/wiki/Dimensionality_reduction).
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#### Can I store vectors with different dimensions in the same column?
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