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4 changes: 3 additions & 1 deletion website/docs/components/vectors/s3_vectors.md
Original file line number Diff line number Diff line change
Expand Up @@ -42,9 +42,11 @@ embeddings:
| `s3_vectors_aws_session_token` | Optional. Session token for the S3 vectors index. | - |
| `s3_vectors_bucket` | The S3 vectors bucket to use. If `s3_vectors_index` is not specified, an index will be created based on the underlying embedding column. Incompatible with `s3_vectors_arn` | `a-bucket` |
| `s3_vectors_index` | The name of the s3 vectors index to use or create. Incompatible with `s3_vectors_arn`. | `index-of-important-embeddings` |
| `s3_vectors_distance_metric` | The distance metric to be used for similarity search. One of: `euclidean`, `cosine`. Default `cosine`. | `euclidean` |
| `s3_vectors_distance_metric` | The distance metric to be used for similarity search. One of: `euclidean`, `cosine`. Default `cosine`. | `euclidean` |
| `s3_vectors_index_poll_interval` | The interval to poll for index updates to avoid excessive API calls. Minimum 5 seconds. Default is to poll on every scan. | `5m` |
| `client_timeout` | Timeout for S3 operations. Default: `30s`. | `30s`, `9 century`, `1m` |


:::warning[Limitations]

- `s3_vectors_index` and `s3_vectors_arn` specify a single index for the dataset and therefore should not be used with a dataset containing more than one embedding column.
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