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cluster_url: The WCD cluster URL or hostname to connect to. Usually in the form: rAnD0mD1g1t5.something.weaviate.cloud
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auth_credentials: The credentials to use for authentication with your Weaviate instance. This can be an API key, in which case use
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auth_credentials: The credentials to use for authentication with your Weaviate instance. This can be an API key, in which case pass a string or use
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`weaviate.classes.init.Auth.api_key()`, a bearer token, in which case use `weaviate.classes.init.Auth.bearer_token()`, a client secret,
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in which case use `weaviate.classes.init.Auth.client_credentials()` or a username and password, in which case use `weaviate.classes.init.Auth.client_password()`.
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headers: Additional headers to include in the requests, e.g. API keys for third-party Cloud vectorization.
"""Connect to a local Weaviate instance deployed using Docker compose with standard port configurations.
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@@ -130,7 +153,7 @@ def connect_to_local(
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headers: Additional headers to include in the requests, e.g. API keys for Cloud vectorization.
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additional_config: This includes many additional, rarely used config options. use wvc.init.AdditionalConfig() to configure.
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skip_init_checks: Whether to skip the initialization checks when connecting to Weaviate.
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auth_credentials: The credentials to use for authentication with your Weaviate instance. This can be an API key, in which case use `weaviate.classes.init.Auth.api_key()`,
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auth_credentials: The credentials to use for authentication with your Weaviate instance. This can be an API key, in which case pass a string or use `weaviate.classes.init.Auth.api_key()`,
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a bearer token, in which case use `weaviate.classes.init.Auth.bearer_token()`, a client secret, in which case use `weaviate.classes.init.Auth.client_credentials()`
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or a username and password, in which case use `weaviate.classes.init.Auth.client_password()`.
grpc_secure: Whether to use a secure channel for the underlying gRPC API.
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headers: Additional headers to include in the requests, e.g. API keys for Cloud vectorization.
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additional_config: This includes many additional, rarely used config options. use wvc.init.AdditionalConfig() to configure.
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auth_credentials: The credentials to use for authentication with your Weaviate instance. This can be an API key, in which case use `weaviate.classes.init.Auth.api_key()`,
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auth_credentials: The credentials to use for authentication with your Weaviate instance. This can be an API key, in which case pass a string or use `weaviate.classes.init.Auth.api_key()`,
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a bearer token, in which case use `weaviate.classes.init.Auth.bearer_token()`, a client secret, in which case use `weaviate.classes.init.Auth.client_credentials()`
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or a username and password, in which case use `weaviate.classes.init.Auth.client_password()`.
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skip_init_checks: Whether to skip the initialization checks when connecting to Weaviate.
cluster_url: The WCD cluster URL or hostname to connect to. Usually in the form: rAnD0mD1g1t5.something.weaviate.cloud
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auth_credentials: The credentials to use for authentication with your Weaviate instance. This can be an API key, in which case use `weaviate.classes.init.Auth.api_key()`,
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auth_credentials: The credentials to use for authentication with your Weaviate instance. This can be an API key, in which case pass a string or use `weaviate.classes.init.Auth.api_key()`,
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a bearer token, in which case use `weaviate.classes.init.Auth.bearer_token()`, a client secret, in which case use `weaviate.classes.init.Auth.client_credentials()`
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or a username and password, in which case use `weaviate.classes.init.Auth.client_password()`.
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headers: Additional headers to include in the requests, e.g. API keys for third-party Cloud vectorization.
"""Create an async client object ready to connect to a local Weaviate instance deployed using Docker compose with standard port configurations.
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@@ -422,7 +445,7 @@ def use_async_with_local(
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headers: Additional headers to include in the requests, e.g. API keys for Cloud vectorization.
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additional_config: This includes many additional, rarely used config options. use wvc.init.AdditionalConfig() to configure.
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skip_init_checks: Whether to skip the initialization checks when connecting to Weaviate.
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auth_credentials: The credentials to use for authentication with your Weaviate instance. This can be an API key, in which case use `weaviate.classes.init.Auth.api_key()`,
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auth_credentials: The credentials to use for authentication with your Weaviate instance. This can be an API key, in which case pass a string or use `weaviate.classes.init.Auth.api_key()`,
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a bearer token, in which case use `weaviate.classes.init.Auth.bearer_token()`, a client secret, in which case use `weaviate.classes.init.Auth.client_credentials()`
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or a username and password, in which case use `weaviate.classes.init.Auth.client_password()`.
grpc_secure: Whether to use a secure channel for the underlying gRPC API.
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headers: Additional headers to include in the requests, e.g. API keys for Cloud vectorization.
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additional_config: This includes many additional, rarely used config options. use wvc.init.AdditionalConfig() to configure.
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auth_credentials: The credentials to use for authentication with your Weaviate instance. This can be an API key, in which case use `weaviate.classes.init.Auth.api_key()`,
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auth_credentials: The credentials to use for authentication with your Weaviate instance. This can be an API key, in which case pass a string or use `weaviate.classes.init.Auth.api_key()`,
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a bearer token, in which case use `weaviate.classes.init.Auth.bearer_token()`, a client secret, in which case use `weaviate.classes.init.Auth.client_credentials()`
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or a username and password, in which case use `weaviate.classes.init.Auth.client_password()`.
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skip_init_checks: Whether to skip the initialization checks when connecting to Weaviate.
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