Vectara

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Batch process all your records to store structured outputs in Vectara.

The requirements are as follows.

• A Vectara account.
• The customer ID for the account.
• The name and key for the target corpus in the account.
• The OAuth authentication URL, client ID, and client secret for accessing the target corpus.

The Vectara connector dependencies.

pip install "unstructured-ingest[vectara]"

You might also need to install additional dependencies, depending on your needs. Learn more.

The following environment variables:

• VECTARA_CUSTOMER_ID - The customer ID for the target Vectara account, represented by --customer-id (CLI) or customer_id (Python).
• VECTARA_CORPUS_NAME - The name of the target corpus in the account, represented by --corpus-name (CLI) or corpus_name (Python).
• VECTARA_CORPUS_KEY - The name of the corpus’s key, represented by --corpus-key (CLI) or corpus_key (Python).
• VECTARA_OAUTH_TOKEN_URL - The OAuth token URL for getting and refreshing OAuth access tokens in the account, represented by --token-url (CLI) or token_url (Python).
• VECTARA_OAUTH_CLIENT_ID - A valid OAuth client ID in the account, represented by --oauth-client-id (CLI) or oauth_client_id (Python).
• VECTARA_OAUTH_CLIENT_SECRET - The OAuth client secret for the client ID, represented by --oauth-client-secret (CLI) or oauth_client_secret (Python).

These environment variables:

• UNSTRUCTURED_API_KEY - Your Unstructured API key value.
• UNSTRUCTURED_API_URL - Your Unstructured API URL.

Now call the Unstructured CLI or Python SDK. The source connector can be any of the ones supported.

This example uses the local source connector: