Class Fact.Builder (3.56.0)

public static final class Fact.Builder extends GeneratedMessageV3.Builder<Fact.Builder> implements FactOrBuilder

The fact used in grounding.

Protobuf type google.cloud.aiplatform.v1beta1.Fact

Implements

FactOrBuilder

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public Fact.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
Fact.Builder
Overrides

build()

public Fact build()
Returns
Type Description
Fact

buildPartial()

public Fact buildPartial()
Returns
Type Description
Fact

clear()

public Fact.Builder clear()
Returns
Type Description
Fact.Builder
Overrides

clearField(Descriptors.FieldDescriptor field)

public Fact.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Name Description
field FieldDescriptor
Returns
Type Description
Fact.Builder
Overrides

clearOneof(Descriptors.OneofDescriptor oneof)

public Fact.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
Fact.Builder
Overrides

clearQuery()

public Fact.Builder clearQuery()

Query that is used to retrieve this fact.

optional string query = 1;

Returns
Type Description
Fact.Builder

This builder for chaining.

clearScore()

public Fact.Builder clearScore()

If present, 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 fact 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 fact. The larger the distance, the less relevant the fact 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
Fact.Builder

This builder for chaining.

clearSummary()

public Fact.Builder clearSummary()

If present, the summary/snippet of the fact.

optional string summary = 4;

Returns
Type Description
Fact.Builder

This builder for chaining.

clearTitle()

public Fact.Builder clearTitle()

If present, it refers to the title of this fact.

optional string title = 2;

Returns
Type Description
Fact.Builder

This builder for chaining.

clearUri()

public Fact.Builder clearUri()

If present, this uri links to the source of the fact.

optional string uri = 3;

Returns
Type Description
Fact.Builder

This builder for chaining.

clearVectorDistance() (deprecated)

public Fact.Builder clearVectorDistance()

Deprecated. google.cloud.aiplatform.v1beta1.Fact.vector_distance is deprecated. See google/cloud/aiplatform/v1beta1/vertex_rag_service.proto;l=314

If present, the distance between the query vector and this fact vector.

optional double vector_distance = 5 [deprecated = true];

Returns
Type Description
Fact.Builder

This builder for chaining.

clone()

public Fact.Builder clone()
Returns
Type Description
Fact.Builder
Overrides

getDefaultInstanceForType()

public Fact getDefaultInstanceForType()
Returns
Type Description
Fact

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
Descriptor
Overrides

getQuery()

public String getQuery()

Query that is used to retrieve this fact.

optional string query = 1;

Returns
Type Description
String

The query.

getQueryBytes()

public ByteString getQueryBytes()

Query that is used to retrieve this fact.

optional string query = 1;

Returns
Type Description
ByteString

The bytes for query.

getScore()

public double getScore()

If present, 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 fact 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 fact. The larger the distance, the less relevant the fact 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.

getSummary()

public String getSummary()

If present, the summary/snippet of the fact.

optional string summary = 4;

Returns
Type Description
String

The summary.

getSummaryBytes()

public ByteString getSummaryBytes()

If present, the summary/snippet of the fact.

optional string summary = 4;

Returns
Type Description
ByteString

The bytes for summary.

getTitle()

public String getTitle()

If present, it refers to the title of this fact.

optional string title = 2;

Returns
Type Description
String

The title.

getTitleBytes()

public ByteString getTitleBytes()

If present, it refers to the title of this fact.

optional string title = 2;

Returns
Type Description
ByteString

The bytes for title.

getUri()

public String getUri()

If present, this uri links to the source of the fact.

optional string uri = 3;

Returns
Type Description
String

The uri.

getUriBytes()

public ByteString getUriBytes()

If present, this uri links to the source of the fact.

optional string uri = 3;

Returns
Type Description
ByteString

The bytes for uri.

getVectorDistance() (deprecated)

public double getVectorDistance()

Deprecated. google.cloud.aiplatform.v1beta1.Fact.vector_distance is deprecated. See google/cloud/aiplatform/v1beta1/vertex_rag_service.proto;l=314

If present, the distance between the query vector and this fact vector.

optional double vector_distance = 5 [deprecated = true];

Returns
Type Description
double

The vectorDistance.

hasQuery()

public boolean hasQuery()

Query that is used to retrieve this fact.

optional string query = 1;

Returns
Type Description
boolean

Whether the query field is set.

hasScore()

public boolean hasScore()

If present, 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 fact 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 fact. The larger the distance, the less relevant the fact 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.

hasSummary()

public boolean hasSummary()

If present, the summary/snippet of the fact.

optional string summary = 4;

Returns
Type Description
boolean

Whether the summary field is set.

hasTitle()

public boolean hasTitle()

If present, it refers to the title of this fact.

optional string title = 2;

Returns
Type Description
boolean

Whether the title field is set.

hasUri()

public boolean hasUri()

If present, this uri links to the source of the fact.

optional string uri = 3;

Returns
Type Description
boolean

Whether the uri field is set.

hasVectorDistance() (deprecated)

public boolean hasVectorDistance()

Deprecated. google.cloud.aiplatform.v1beta1.Fact.vector_distance is deprecated. See google/cloud/aiplatform/v1beta1/vertex_rag_service.proto;l=314

If present, the distance between the query vector and this fact vector.

optional double vector_distance = 5 [deprecated = true];

Returns
Type Description
boolean

Whether the vectorDistance field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeFrom(Fact other)

public Fact.Builder mergeFrom(Fact other)
Parameter
Name Description
other Fact
Returns
Type Description
Fact.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public Fact.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
Fact.Builder
Overrides
Exceptions
Type Description
IOException

mergeFrom(Message other)

public Fact.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
Fact.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final Fact.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
Fact.Builder
Overrides

setField(Descriptors.FieldDescriptor field, Object value)

public Fact.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
Fact.Builder
Overrides

setQuery(String value)

public Fact.Builder setQuery(String value)

Query that is used to retrieve this fact.

optional string query = 1;

Parameter
Name Description
value String

The query to set.

Returns
Type Description
Fact.Builder

This builder for chaining.

setQueryBytes(ByteString value)

public Fact.Builder setQueryBytes(ByteString value)

Query that is used to retrieve this fact.

optional string query = 1;

Parameter
Name Description
value ByteString

The bytes for query to set.

Returns
Type Description
Fact.Builder

This builder for chaining.

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public Fact.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Name Description
field FieldDescriptor
index int
value Object
Returns
Type Description
Fact.Builder
Overrides

setScore(double value)

public Fact.Builder setScore(double value)

If present, 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 fact 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 fact. The larger the distance, the less relevant the fact 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
Fact.Builder

This builder for chaining.

setSummary(String value)

public Fact.Builder setSummary(String value)

If present, the summary/snippet of the fact.

optional string summary = 4;

Parameter
Name Description
value String

The summary to set.

Returns
Type Description
Fact.Builder

This builder for chaining.

setSummaryBytes(ByteString value)

public Fact.Builder setSummaryBytes(ByteString value)

If present, the summary/snippet of the fact.

optional string summary = 4;

Parameter
Name Description
value ByteString

The bytes for summary to set.

Returns
Type Description
Fact.Builder

This builder for chaining.

setTitle(String value)

public Fact.Builder setTitle(String value)

If present, it refers to the title of this fact.

optional string title = 2;

Parameter
Name Description
value String

The title to set.

Returns
Type Description
Fact.Builder

This builder for chaining.

setTitleBytes(ByteString value)

public Fact.Builder setTitleBytes(ByteString value)

If present, it refers to the title of this fact.

optional string title = 2;

Parameter
Name Description
value ByteString

The bytes for title to set.

Returns
Type Description
Fact.Builder

This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final Fact.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
Fact.Builder
Overrides

setUri(String value)

public Fact.Builder setUri(String value)

If present, this uri links to the source of the fact.

optional string uri = 3;

Parameter
Name Description
value String

The uri to set.

Returns
Type Description
Fact.Builder

This builder for chaining.

setUriBytes(ByteString value)

public Fact.Builder setUriBytes(ByteString value)

If present, this uri links to the source of the fact.

optional string uri = 3;

Parameter
Name Description
value ByteString

The bytes for uri to set.

Returns
Type Description
Fact.Builder

This builder for chaining.

setVectorDistance(double value) (deprecated)

public Fact.Builder setVectorDistance(double value)

Deprecated. google.cloud.aiplatform.v1beta1.Fact.vector_distance is deprecated. See google/cloud/aiplatform/v1beta1/vertex_rag_service.proto;l=314

If present, the distance between the query vector and this fact vector.

optional double vector_distance = 5 [deprecated = true];

Parameter
Name Description
value double

The vectorDistance to set.

Returns
Type Description
Fact.Builder

This builder for chaining.