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Oct 30, 2024
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Update vectara.mdx #315

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4 changes: 2 additions & 2 deletions snippets/dc-shared-text/vectara.mdx
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Process all your records using `unstructured-ingest` to store structured outputs locally on your filesystem and upload those to a Vectara corpus. If you don’t yet have a Vectara account, \[sign up\]([https://vectara.com/integrations/unstructured/](https://vectara.com/integrations/unstructured/)) for your account.
Process all your records using `unstructured-ingest` to store structured outputs locally on your filesystem and upload those to a Vectara corpus. If you don’t yet have a Vectara account, [sign up](https://console.vectara.com/signup/) for one now.

The upstream connector can be any of the ones supported, but for convenience here, showing a sample command using the upstream local connector.

Expand All @@ -16,4 +16,4 @@ import VectaraPy from '/snippets/destination_connectors/vectara.py.mdx';

For a full list of the options the Unstructured Ingest CLI accepts check `unstructured-ingest <upstream connector> vectara --help`.

NOTE: Keep in mind that you will need to have all the appropriate extras and dependencies for the file types of the documents contained in your data storage platform if you’re running this locally. You can find more information about this in the [installation guide](/open-source/installation/overview).
NOTE: Keep in mind that you will need to have all the appropriate extras and dependencies for the file types of the documents contained in your data storage platform if you’re running this locally. You can find more information about this in the [installation guide](/open-source/installation/overview).