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Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class Context.
A context of the query.
Generated from protobuf message google.cloud.aiplatform.v1.RagContexts.Context
Namespace
Google \ Cloud \ AIPlatform \ V1 \ RagContextsMethods
__construct
Constructor.
data
array
Optional. Data for populating the Message object.
↳ source_uri
string
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
string
The file display name.
↳ text
string
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.
getSourceUri
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.
string
setSourceUri
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.
var
string
$this
getSourceDisplayName
The file display name.
string
setSourceDisplayName
The file display name.
var
string
$this
getText
The text chunk.
string
setText
The text chunk.
var
string
$this
getScore
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.
float
hasScore
clearScore
setScore
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.
var
float
$this
