public sealed class RagContexts.Types.Context : IMessage<RagContexts.Types.Context>, IEquatable<RagContexts.Types.Context>, IDeepCloneable<RagContexts.Types.Context>, IBufferMessage, IMessageReference documentation and code samples for the Cloud AI Platform v1beta1 API class RagContexts.Types.Context.
A context of the query.
Implements
IMessageRagContextsTypesContext, IEquatableRagContextsTypesContext, IDeepCloneableRagContextsTypesContext, IBufferMessage, IMessageNamespace
Google.Cloud.AIPlatform.V1Beta1Assembly
Google.Cloud.AIPlatform.V1Beta1.dll
Constructors
Context()
public Context()Context(Context)
public Context(RagContexts.Types.Context other)| Parameter | |
|---|---|
| Name | Description |
other |
RagContextsTypesContext |
Properties
Distance
[Obsolete]
public double Distance { get; set; }The distance between the query dense embedding vector and the context text vector.
| Property Value | |
|---|---|
| Type | Description |
double |
|
HasScore
public bool HasScore { get; }Gets whether the "score" field is set
| Property Value | |
|---|---|
| Type | Description |
bool |
|
Score
public double Score { get; set; }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.
| Property Value | |
|---|---|
| Type | Description |
double |
|
SourceDisplayName
public string SourceDisplayName { get; set; }The file display name.
| Property Value | |
|---|---|
| Type | Description |
string |
|
SourceUri
public string SourceUri { get; set; }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.
| Property Value | |
|---|---|
| Type | Description |
string |
|
SparseDistance
[Obsolete]
public double SparseDistance { get; set; }The distance between the query sparse embedding vector and the context text vector.
| Property Value | |
|---|---|
| Type | Description |
double |
|
Text
public string Text { get; set; }The text chunk.
| Property Value | |
|---|---|
| Type | Description |
string |
|