You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
/// Generates a text response to a user message and streams it down, token by token. To learn how to use the Chat API with streaming follow our [Text Generation guides](https://docs.cohere.com/v2/docs/chat-api).<br/>
29
29
/// Follow the [Migration Guide](https://docs.cohere.com/v2/docs/migrating-v1-to-v2) for instructions on moving from API v1 to API v2.
/// Generates a text response to a user message and streams it down, token by token. To learn how to use the Chat API with streaming follow our [Text Generation guides](https://docs.cohere.com/v2/docs/chat-api).<br/>
521
521
/// Follow the [Migration Guide](https://docs.cohere.com/v2/docs/migrating-v1-to-v2) for instructions on moving from API v1 to API v2.
/// This endpoint returns text and image embeddings. An embedding is a list of floating point numbers that captures semantic information about the content that it represents.<br/>
29
29
/// Embeddings can be used to create classifiers as well as empower semantic search. To learn more about embeddings, see the embedding page.<br/>
30
30
/// If you want to learn more how to use the embedding model, have a look at the [Semantic Search Guide](https://docs.cohere.com/docs/semantic-search).
/// This endpoint returns text and image embeddings. An embedding is a list of floating point numbers that captures semantic information about the content that it represents.<br/>
522
522
/// Embeddings can be used to create classifiers as well as empower semantic search. To learn more about embeddings, see the embedding page.<br/>
523
523
/// If you want to learn more how to use the embedding model, have a look at the [Semantic Search Guide](https://docs.cohere.com/docs/semantic-search).
/// This endpoint returns text embeddings. An embedding is a list of floating point numbers that captures semantic information about the text that it represents.<br/>
29
29
/// Embeddings can be used to create text classifiers as well as empower semantic search. To learn more about embeddings, see the embedding page.<br/>
30
30
/// If you want to learn more how to use the embedding model, have a look at the [Semantic Search Guide](https://docs.cohere.com/docs/semantic-search).
/// This endpoint returns text embeddings. An embedding is a list of floating point numbers that captures semantic information about the text that it represents.<br/>
522
522
/// Embeddings can be used to create text classifiers as well as empower semantic search. To learn more about embeddings, see the embedding page.<br/>
523
523
/// If you want to learn more how to use the embedding model, have a look at the [Semantic Search Guide](https://docs.cohere.com/docs/semantic-search).
Copy file name to clipboardExpand all lines: src/libs/Cohere/Generated/Cohere.ICohereClient.Chatv2.g.cs
+2-2Lines changed: 2 additions & 2 deletions
Original file line number
Diff line number
Diff line change
@@ -5,7 +5,7 @@ namespace Cohere
5
5
publicpartialinterfaceICohereClient
6
6
{
7
7
/// <summary>
8
-
/// Chat with the model<br/>
8
+
/// Chat V2 API<br/>
9
9
/// Generates a text response to a user message and streams it down, token by token. To learn how to use the Chat API with streaming follow our [Text Generation guides](https://docs.cohere.com/v2/docs/chat-api).<br/>
10
10
/// Follow the [Migration Guide](https://docs.cohere.com/v2/docs/migrating-v1-to-v2) for instructions on moving from API v1 to API v2.
11
11
/// </summary>
@@ -19,7 +19,7 @@ public partial interface ICohereClient
/// Generates a text response to a user message and streams it down, token by token. To learn how to use the Chat API with streaming follow our [Text Generation guides](https://docs.cohere.com/v2/docs/chat-api).<br/>
24
24
/// Follow the [Migration Guide](https://docs.cohere.com/v2/docs/migrating-v1-to-v2) for instructions on moving from API v1 to API v2.
Copy file name to clipboardExpand all lines: src/libs/Cohere/Generated/Cohere.ICohereClient.Embed.g.cs
+2-2Lines changed: 2 additions & 2 deletions
Original file line number
Diff line number
Diff line change
@@ -5,7 +5,7 @@ namespace Cohere
5
5
publicpartialinterfaceICohereClient
6
6
{
7
7
/// <summary>
8
-
/// Embed<br/>
8
+
/// Embed V1 API<br/>
9
9
/// This endpoint returns text and image embeddings. An embedding is a list of floating point numbers that captures semantic information about the content that it represents.<br/>
10
10
/// Embeddings can be used to create classifiers as well as empower semantic search. To learn more about embeddings, see the embedding page.<br/>
11
11
/// If you want to learn more how to use the embedding model, have a look at the [Semantic Search Guide](https://docs.cohere.com/docs/semantic-search).
@@ -20,7 +20,7 @@ public partial interface ICohereClient
/// This endpoint returns text and image embeddings. An embedding is a list of floating point numbers that captures semantic information about the content that it represents.<br/>
25
25
/// Embeddings can be used to create classifiers as well as empower semantic search. To learn more about embeddings, see the embedding page.<br/>
26
26
/// If you want to learn more how to use the embedding model, have a look at the [Semantic Search Guide](https://docs.cohere.com/docs/semantic-search).
0 commit comments