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Class Context (1.89.0)
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Context(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A context of the query.

Attributes
Name	Description
`source_uri`	`str` If the file is imported from Cloud Storage or Google Drive, source_uri will be original file URI in Cloud Storage or Google Drive; if file is uploaded, source_uri will be file display name.
`source_display_name`	`str` The file display name.
`text`	`str` The text chunk.
`score`	`float` According to the underlying Vector DB and the selected metric type, the score can be either the distance or the similarity between the query and the context and its range depends on the metric type. For example, if the metric type is COSINE_DISTANCE, it represents the distance between the query and the context. The larger the distance, the less relevant the context is to the query. The range is [0, 2], while 0 means the most relevant and 2 means the least relevant. This field is a member of `oneof`_ `_score`.
`chunk`	`google.cloud.aiplatform_v1.types.RagChunk` Context of the retrieved chunk.

Methods

Context(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A context of the query.

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Last updated 2025-04-17 UTC.