com.google.cloud.aiplatform.v1

Interface RagContexts.ContextOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

RagContexts.Context, RagContexts.Context.Builder

Enclosing class:

RagContexts

public static interface RagContexts.ContextOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
RagChunk	getChunk() Context of the retrieved chunk.
RagChunkOrBuilder	getChunkOrBuilder() Context of the retrieved chunk.
double	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.
String	getSourceDisplayName() The file display name.
com.google.protobuf.ByteString	getSourceDisplayNameBytes() The file display name.
String	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.
com.google.protobuf.ByteString	getSourceUriBytes() 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	getText() The text chunk.
com.google.protobuf.ByteString	getTextBytes() The text chunk.
boolean	hasChunk() Context of the retrieved chunk.
boolean	hasScore() 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.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

getSourceUri

String 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 source_uri = 1;

Returns:

The sourceUri.

getSourceUriBytes

com.google.protobuf.ByteString getSourceUriBytes()

 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 source_uri = 1;

Returns:

The bytes for sourceUri.

getSourceDisplayName

String getSourceDisplayName()

 The file display name.
 

string source_display_name = 5;

Returns:

The sourceDisplayName.

getSourceDisplayNameBytes

com.google.protobuf.ByteString getSourceDisplayNameBytes()

 The file display name.
 

string source_display_name = 5;

Returns:

The bytes for sourceDisplayName.

getText

String getText()

 The text chunk.
 

string text = 2;

Returns:

The text.

getTextBytes

com.google.protobuf.ByteString getTextBytes()

 The text chunk.
 

string text = 2;

Returns:

The bytes for text.

hasScore

boolean hasScore()

 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.
 

optional double score = 6;

Returns:

Whether the score field is set.

getScore

double 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.
 

optional double score = 6;

Returns:

The score.

hasChunk

boolean hasChunk()

 Context of the retrieved chunk.
 

.google.cloud.aiplatform.v1.RagChunk chunk = 7;

Returns:

Whether the chunk field is set.

getChunk

RagChunk getChunk()

 Context of the retrieved chunk.
 

.google.cloud.aiplatform.v1.RagChunk chunk = 7;

Returns:

The chunk.

getChunkOrBuilder

RagChunkOrBuilder getChunkOrBuilder()

 Context of the retrieved chunk.
 

.google.cloud.aiplatform.v1.RagChunk chunk = 7;