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fix: add auto_refresh option for OpenSearch Serverless compatibility (#3893)

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Co-authored-by: Zaid Malhis <Malhis@users.noreply.github.com>
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Zaid
2026-06-23 23:18:52 -07:00
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parent e9c0547423
commit 3497f26a00
4 changed files with 89 additions and 2 deletions
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docs/components/vectordbs/dbs/opensearch.mdx
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@@ -56,6 +56,30 @@ config = {
}
```
### Configuration Options
| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `collection_name` | string | required | Name of the OpenSearch index |
| `host` | string | required | OpenSearch endpoint URL |
| `port` | int | 9200 | Port number |
| `http_auth` | object | None | Authentication credentials (e.g., AWSV4SignerAuth) |
| `embedding_model_dims` | int | 1536 | Dimension of embedding vectors |
| `use_ssl` | bool | False | Enable SSL/TLS connection |
| `verify_certs` | bool | False | Verify SSL certificates |
| `auto_refresh` | bool | False | Automatically refresh index after insert. OpenSearch refreshes every ~1 second by default, so this is rarely needed. |
<Note>
The defaults above match a local OpenSearch instance. The AWS OpenSearch Serverless
example earlier on this page intentionally overrides them with `port=443`, `use_ssl=True`,
and `verify_certs=True`, which are required when connecting to a Serverless collection.
</Note>
<Note>
For **AWS OpenSearch Serverless**, keep `auto_refresh=False` (the default).
The `indices.refresh()` API is not supported on Serverless collections.
</Note>
### Add Memories
```python