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Update INT8 and UINT8 vector types (#2128)
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content/develop/ai/search-and-query/vectors/_index.md

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@@ -68,7 +68,7 @@ Choose the `FLAT` index when you have small datasets (< 1M vectors) or when perf
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| Attribute | Description |
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|:-------------------|:-----------------------------------------|
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| `TYPE` | Vector type (`BFLOAT16`, `FLOAT16`, `FLOAT32`, `FLOAT64`). `BFLOAT16` and `FLOAT16` require v2.10 or later. |
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| `TYPE` | Vector type (`BFLOAT16`, `FLOAT16`, `FLOAT32`, `FLOAT64`, `INT8`, `UINT8`). `BFLOAT16` and `FLOAT16` require v2.10 or later, while `INT8` and `UINT8` require 8.0 or later. |
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| `DIM` | The width, or number of dimensions, of the vector embeddings stored in this field. In other words, the number of floating point elements comprising the vector. `DIM` must be a positive integer. The vector used to query this field must have the exact dimensions as the field itself. |
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| `DISTANCE_METRIC` | Distance metric (`L2`, `IP`, `COSINE`). |
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@@ -97,7 +97,7 @@ Choose the `HNSW` index type when you have larger datasets (> 1M documents) or w
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| Attribute | Description |
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|:-------------------|:-----------------------------------------|
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| `TYPE` | Vector type (`BFLOAT16`, `FLOAT16`, `FLOAT32`, `FLOAT64`). `BFLOAT16` and `FLOAT16` require v2.10 or later. |
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| `TYPE` | Vector type (`BFLOAT16`, `FLOAT16`, `FLOAT32`, `FLOAT64`, `INT8`, `UINT8`). `BFLOAT16` and `FLOAT16` require v2.10 or later, while `INT8` and `UINT8` require 8.0 or later. |
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| `DIM` | The width, or number of dimensions, of the vector embeddings stored in this field. In other words, the number of floating point elements comprising the vector. `DIM` must be a positive integer. The vector used to query this field must have the exact dimensions as the field itself. |
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| `DISTANCE_METRIC` | Distance metric (`L2`, `IP`, `COSINE`). |
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