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public static final class RagContexts.Context.Builder extends GeneratedMessageV3.Builder<RagContexts.Context.Builder> implements RagContexts.ContextOrBuilder
A context of the query.
Protobuf type google.cloud.aiplatform.v1beta1.RagContexts.Context
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > RagContexts.Context.BuilderImplements
RagContexts.ContextOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns | |
---|---|
Type | Description |
Descriptor |
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public RagContexts.Context.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
---|---|
Name | Description |
field |
FieldDescriptor |
value |
Object |
Returns | |
---|---|
Type | Description |
RagContexts.Context.Builder |
build()
public RagContexts.Context build()
Returns | |
---|---|
Type | Description |
RagContexts.Context |
buildPartial()
public RagContexts.Context buildPartial()
Returns | |
---|---|
Type | Description |
RagContexts.Context |
clear()
public RagContexts.Context.Builder clear()
Returns | |
---|---|
Type | Description |
RagContexts.Context.Builder |
clearDistance() (deprecated)
public RagContexts.Context.Builder clearDistance()
Deprecated. google.cloud.aiplatform.v1beta1.RagContexts.Context.distance is deprecated. See google/cloud/aiplatform/v1beta1/vertex_rag_service.proto;l=181
The distance between the query dense embedding vector and the context text vector.
double distance = 3 [deprecated = true];
Returns | |
---|---|
Type | Description |
RagContexts.Context.Builder |
This builder for chaining. |
clearField(Descriptors.FieldDescriptor field)
public RagContexts.Context.Builder clearField(Descriptors.FieldDescriptor field)
Parameter | |
---|---|
Name | Description |
field |
FieldDescriptor |
Returns | |
---|---|
Type | Description |
RagContexts.Context.Builder |
clearOneof(Descriptors.OneofDescriptor oneof)
public RagContexts.Context.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter | |
---|---|
Name | Description |
oneof |
OneofDescriptor |
Returns | |
---|---|
Type | Description |
RagContexts.Context.Builder |
clearScore()
public RagContexts.Context.Builder clearScore()
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 | |
---|---|
Type | Description |
RagContexts.Context.Builder |
This builder for chaining. |
clearSourceDisplayName()
public RagContexts.Context.Builder clearSourceDisplayName()
The file display name.
string source_display_name = 5;
Returns | |
---|---|
Type | Description |
RagContexts.Context.Builder |
This builder for chaining. |
clearSourceUri()
public RagContexts.Context.Builder clearSourceUri()
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 | |
---|---|
Type | Description |
RagContexts.Context.Builder |
This builder for chaining. |
clearSparseDistance() (deprecated)
public RagContexts.Context.Builder clearSparseDistance()
Deprecated. google.cloud.aiplatform.v1beta1.RagContexts.Context.sparse_distance is deprecated. See google/cloud/aiplatform/v1beta1/vertex_rag_service.proto;l=185
The distance between the query sparse embedding vector and the context text vector.
double sparse_distance = 4 [deprecated = true];
Returns | |
---|---|
Type | Description |
RagContexts.Context.Builder |
This builder for chaining. |
clearText()
public RagContexts.Context.Builder clearText()
The text chunk.
string text = 2;
Returns | |
---|---|
Type | Description |
RagContexts.Context.Builder |
This builder for chaining. |
clone()
public RagContexts.Context.Builder clone()
Returns | |
---|---|
Type | Description |
RagContexts.Context.Builder |
getDefaultInstanceForType()
public RagContexts.Context getDefaultInstanceForType()
Returns | |
---|---|
Type | Description |
RagContexts.Context |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Returns | |
---|---|
Type | Description |
Descriptor |
getDistance() (deprecated)
public double getDistance()
Deprecated. google.cloud.aiplatform.v1beta1.RagContexts.Context.distance is deprecated. See google/cloud/aiplatform/v1beta1/vertex_rag_service.proto;l=181
The distance between the query dense embedding vector and the context text vector.
double distance = 3 [deprecated = true];
Returns | |
---|---|
Type | Description |
double |
The distance. |
getScore()
public 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 | |
---|---|
Type | Description |
double |
The score. |
getSourceDisplayName()
public String getSourceDisplayName()
The file display name.
string source_display_name = 5;
Returns | |
---|---|
Type | Description |
String |
The sourceDisplayName. |
getSourceDisplayNameBytes()
public ByteString getSourceDisplayNameBytes()
The file display name.
string source_display_name = 5;
Returns | |
---|---|
Type | Description |
ByteString |
The bytes for sourceDisplayName. |
getSourceUri()
public 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 | |
---|---|
Type | Description |
String |
The sourceUri. |
getSourceUriBytes()
public 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 | |
---|---|
Type | Description |
ByteString |
The bytes for sourceUri. |
getSparseDistance() (deprecated)
public double getSparseDistance()
Deprecated. google.cloud.aiplatform.v1beta1.RagContexts.Context.sparse_distance is deprecated. See google/cloud/aiplatform/v1beta1/vertex_rag_service.proto;l=185
The distance between the query sparse embedding vector and the context text vector.
double sparse_distance = 4 [deprecated = true];
Returns | |
---|---|
Type | Description |
double |
The sparseDistance. |
getText()
public String getText()
The text chunk.
string text = 2;
Returns | |
---|---|
Type | Description |
String |
The text. |
getTextBytes()
public ByteString getTextBytes()
The text chunk.
string text = 2;
Returns | |
---|---|
Type | Description |
ByteString |
The bytes for text. |
hasScore()
public 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 | |
---|---|
Type | Description |
boolean |
Whether the score field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns | |
---|---|
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Returns | |
---|---|
Type | Description |
boolean |
mergeFrom(RagContexts.Context other)
public RagContexts.Context.Builder mergeFrom(RagContexts.Context other)
Parameter | |
---|---|
Name | Description |
other |
RagContexts.Context |
Returns | |
---|---|
Type | Description |
RagContexts.Context.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public RagContexts.Context.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
input |
CodedInputStream |
extensionRegistry |
ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
RagContexts.Context.Builder |
Exceptions | |
---|---|
Type | Description |
IOException |
mergeFrom(Message other)
public RagContexts.Context.Builder mergeFrom(Message other)
Parameter | |
---|---|
Name | Description |
other |
Message |
Returns | |
---|---|
Type | Description |
RagContexts.Context.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final RagContexts.Context.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields |
UnknownFieldSet |
Returns | |
---|---|
Type | Description |
RagContexts.Context.Builder |
setDistance(double value) (deprecated)
public RagContexts.Context.Builder setDistance(double value)
Deprecated. google.cloud.aiplatform.v1beta1.RagContexts.Context.distance is deprecated. See google/cloud/aiplatform/v1beta1/vertex_rag_service.proto;l=181
The distance between the query dense embedding vector and the context text vector.
double distance = 3 [deprecated = true];
Parameter | |
---|---|
Name | Description |
value |
double The distance to set. |
Returns | |
---|---|
Type | Description |
RagContexts.Context.Builder |
This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public RagContexts.Context.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
---|---|
Name | Description |
field |
FieldDescriptor |
value |
Object |
Returns | |
---|---|
Type | Description |
RagContexts.Context.Builder |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public RagContexts.Context.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters | |
---|---|
Name | Description |
field |
FieldDescriptor |
index |
int |
value |
Object |
Returns | |
---|---|
Type | Description |
RagContexts.Context.Builder |
setScore(double value)
public RagContexts.Context.Builder setScore(double value)
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;
Parameter | |
---|---|
Name | Description |
value |
double The score to set. |
Returns | |
---|---|
Type | Description |
RagContexts.Context.Builder |
This builder for chaining. |
setSourceDisplayName(String value)
public RagContexts.Context.Builder setSourceDisplayName(String value)
The file display name.
string source_display_name = 5;
Parameter | |
---|---|
Name | Description |
value |
String The sourceDisplayName to set. |
Returns | |
---|---|
Type | Description |
RagContexts.Context.Builder |
This builder for chaining. |
setSourceDisplayNameBytes(ByteString value)
public RagContexts.Context.Builder setSourceDisplayNameBytes(ByteString value)
The file display name.
string source_display_name = 5;
Parameter | |
---|---|
Name | Description |
value |
ByteString The bytes for sourceDisplayName to set. |
Returns | |
---|---|
Type | Description |
RagContexts.Context.Builder |
This builder for chaining. |
setSourceUri(String value)
public RagContexts.Context.Builder setSourceUri(String value)
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;
Parameter | |
---|---|
Name | Description |
value |
String The sourceUri to set. |
Returns | |
---|---|
Type | Description |
RagContexts.Context.Builder |
This builder for chaining. |
setSourceUriBytes(ByteString value)
public RagContexts.Context.Builder setSourceUriBytes(ByteString value)
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;
Parameter | |
---|---|
Name | Description |
value |
ByteString The bytes for sourceUri to set. |
Returns | |
---|---|
Type | Description |
RagContexts.Context.Builder |
This builder for chaining. |
setSparseDistance(double value) (deprecated)
public RagContexts.Context.Builder setSparseDistance(double value)
Deprecated. google.cloud.aiplatform.v1beta1.RagContexts.Context.sparse_distance is deprecated. See google/cloud/aiplatform/v1beta1/vertex_rag_service.proto;l=185
The distance between the query sparse embedding vector and the context text vector.
double sparse_distance = 4 [deprecated = true];
Parameter | |
---|---|
Name | Description |
value |
double The sparseDistance to set. |
Returns | |
---|---|
Type | Description |
RagContexts.Context.Builder |
This builder for chaining. |
setText(String value)
public RagContexts.Context.Builder setText(String value)
The text chunk.
string text = 2;
Parameter | |
---|---|
Name | Description |
value |
String The text to set. |
Returns | |
---|---|
Type | Description |
RagContexts.Context.Builder |
This builder for chaining. |
setTextBytes(ByteString value)
public RagContexts.Context.Builder setTextBytes(ByteString value)
The text chunk.
string text = 2;
Parameter | |
---|---|
Name | Description |
value |
ByteString The bytes for text to set. |
Returns | |
---|---|
Type | Description |
RagContexts.Context.Builder |
This builder for chaining. |
setUnknownFields(UnknownFieldSet unknownFields)
public final RagContexts.Context.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields |
UnknownFieldSet |
Returns | |
---|---|
Type | Description |
RagContexts.Context.Builder |