diff --git a/content/develop/ai/search-and-query/vectors/_index.md b/content/develop/ai/search-and-query/vectors/_index.md index 988ecac363..f824f4a684 100644 --- a/content/develop/ai/search-and-query/vectors/_index.md +++ b/content/develop/ai/search-and-query/vectors/_index.md @@ -68,7 +68,7 @@ Choose the `FLAT` index when you have small datasets (< 1M vectors) or when perf | Attribute | Description | |:-------------------|:-----------------------------------------| -| `TYPE` | Vector type (`BFLOAT16`, `FLOAT16`, `FLOAT32`, `FLOAT64`). `BFLOAT16` and `FLOAT16` require v2.10 or later. | +| `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. | | `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. | | `DISTANCE_METRIC` | Distance metric (`L2`, `IP`, `COSINE`). | @@ -97,7 +97,7 @@ Choose the `HNSW` index type when you have larger datasets (> 1M documents) or w | Attribute | Description | |:-------------------|:-----------------------------------------| -| `TYPE` | Vector type (`BFLOAT16`, `FLOAT16`, `FLOAT32`, `FLOAT64`). `BFLOAT16` and `FLOAT16` require v2.10 or later. | +| `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. | | `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. | | `DISTANCE_METRIC` | Distance metric (`L2`, `IP`, `COSINE`). |