Sync Core Integrations API reference (cohere) on Docusaurus (#11049)

Co-authored-by: anakin87 <44616784+anakin87@users.noreply.github.com>

Author: HaystackBot

docs-website/reference/integrations-api/cohere.md

@@ -51,7 +51,7 @@ See https://docs.cohere.com/docs/models#embed for the full list.
 ```python
 __init__(
     api_key: Secret = Secret.from_env_var(["COHERE_API_KEY", "CO_API_KEY"]),
-    model: str = "embed-english-v2.0",
+    model: str = "embed-v4.0",
     input_type: str = "search_document",
     api_base_url: str = "https://api.cohere.com",
     truncate: str = "END",
@@ -64,18 +64,15 @@ __init__(
 ) -> None
 ```
 
+Initialize the CohereDocumentEmbedder.
+
 **Parameters:**
 
 - **api_key** (<code>Secret</code>) – the Cohere API key.
-- **model** (<code>str</code>) – the name of the model to use. Supported Models are:
-  `"embed-english-v3.0"`, `"embed-english-light-v3.0"`, `"embed-multilingual-v3.0"`,
-  `"embed-multilingual-light-v3.0"`, `"embed-english-v2.0"`, `"embed-english-light-v2.0"`,
-  `"embed-multilingual-v2.0"`. This list of all supported models can be found in the
-  [model documentation](https://docs.cohere.com/docs/models#representation).
+- **model** (<code>str</code>) – the name of the model to use.
+  Read [Cohere documentation](https://docs.cohere.com/docs/models#embed) for a list of all supported models.
 - **input_type** (<code>str</code>) – specifies the type of input you're giving to the model. Supported values are
-  "search_document", "search_query", "classification" and "clustering". Not
-  required for older versions of the embedding models (meaning anything lower than v3), but is required for
-  more recent versions (meaning anything bigger than v2).
+  "search_document", "search_query", "classification" and "clustering".
 - **api_base_url** (<code>str</code>) – the Cohere API Base url.
 - **truncate** (<code>str</code>) – truncate embeddings that are too long from start or end, ("NONE"|"START"|"END").
   Passing "START" will discard the start of the input. "END" will discard the end of the input. In both
@@ -358,7 +355,7 @@ See https://docs.cohere.com/docs/models#embed for the full list.
 ```python
 __init__(
     api_key: Secret = Secret.from_env_var(["COHERE_API_KEY", "CO_API_KEY"]),
-    model: str = "embed-english-v2.0",
+    model: str = "embed-v4.0",
     input_type: str = "search_query",
     api_base_url: str = "https://api.cohere.com",
     truncate: str = "END",
@@ -367,18 +364,15 @@ __init__(
 ) -> None
 ```
 
+Initialize the CohereTextEmbedder.
+
 **Parameters:**
 
 - **api_key** (<code>Secret</code>) – the Cohere API key.
-- **model** (<code>str</code>) – the name of the model to use. Supported Models are:
-  `"embed-english-v3.0"`, `"embed-english-light-v3.0"`, `"embed-multilingual-v3.0"`,
-  `"embed-multilingual-light-v3.0"`, `"embed-english-v2.0"`, `"embed-english-light-v2.0"`,
-  `"embed-multilingual-v2.0"`. This list of all supported models can be found in the
-  [model documentation](https://docs.cohere.com/docs/models#representation).
+- **model** (<code>str</code>) – the name of the model to use.
+  Read [Cohere documentation](https://docs.cohere.com/docs/models#embed) for a list of all supported models.
 - **input_type** (<code>str</code>) – specifies the type of input you're giving to the model. Supported values are
-  "search_document", "search_query", "classification" and "clustering". Not
-  required for older versions of the embedding models (meaning anything lower than v3), but is required for
-  more recent versions (meaning anything bigger than v2).
+  "search_document", "search_query", "classification" and "clustering".
 - **api_base_url** (<code>str</code>) – the Cohere API Base url.
 - **truncate** (<code>str</code>) – truncate embeddings that are too long from start or end, ("NONE"|"START"|"END").
   Passing "START" will discard the start of the input. "END" will discard the end of the input. In both

docs-website/reference_versioned_docs/version-2.18/integrations-api/cohere.md

@@ -51,7 +51,7 @@ See https://docs.cohere.com/docs/models#embed for the full list.
 ```python
 __init__(
     api_key: Secret = Secret.from_env_var(["COHERE_API_KEY", "CO_API_KEY"]),
-    model: str = "embed-english-v2.0",
+    model: str = "embed-v4.0",
     input_type: str = "search_document",
     api_base_url: str = "https://api.cohere.com",
     truncate: str = "END",
@@ -64,18 +64,15 @@ __init__(
 ) -> None
 ```
 
+Initialize the CohereDocumentEmbedder.
+
 **Parameters:**
 
 - **api_key** (<code>Secret</code>) – the Cohere API key.
-- **model** (<code>str</code>) – the name of the model to use. Supported Models are:
-  `"embed-english-v3.0"`, `"embed-english-light-v3.0"`, `"embed-multilingual-v3.0"`,
-  `"embed-multilingual-light-v3.0"`, `"embed-english-v2.0"`, `"embed-english-light-v2.0"`,
-  `"embed-multilingual-v2.0"`. This list of all supported models can be found in the
-  [model documentation](https://docs.cohere.com/docs/models#representation).
+- **model** (<code>str</code>) – the name of the model to use.
+  Read [Cohere documentation](https://docs.cohere.com/docs/models#embed) for a list of all supported models.
 - **input_type** (<code>str</code>) – specifies the type of input you're giving to the model. Supported values are
-  "search_document", "search_query", "classification" and "clustering". Not
-  required for older versions of the embedding models (meaning anything lower than v3), but is required for
-  more recent versions (meaning anything bigger than v2).
+  "search_document", "search_query", "classification" and "clustering".
 - **api_base_url** (<code>str</code>) – the Cohere API Base url.
 - **truncate** (<code>str</code>) – truncate embeddings that are too long from start or end, ("NONE"|"START"|"END").
   Passing "START" will discard the start of the input. "END" will discard the end of the input. In both
@@ -358,7 +355,7 @@ See https://docs.cohere.com/docs/models#embed for the full list.
 ```python
 __init__(
     api_key: Secret = Secret.from_env_var(["COHERE_API_KEY", "CO_API_KEY"]),
-    model: str = "embed-english-v2.0",
+    model: str = "embed-v4.0",
     input_type: str = "search_query",
     api_base_url: str = "https://api.cohere.com",
     truncate: str = "END",
@@ -367,18 +364,15 @@ __init__(
 ) -> None
 ```
 
+Initialize the CohereTextEmbedder.
+
 **Parameters:**
 
 - **api_key** (<code>Secret</code>) – the Cohere API key.
-- **model** (<code>str</code>) – the name of the model to use. Supported Models are:
-  `"embed-english-v3.0"`, `"embed-english-light-v3.0"`, `"embed-multilingual-v3.0"`,
-  `"embed-multilingual-light-v3.0"`, `"embed-english-v2.0"`, `"embed-english-light-v2.0"`,
-  `"embed-multilingual-v2.0"`. This list of all supported models can be found in the
-  [model documentation](https://docs.cohere.com/docs/models#representation).
+- **model** (<code>str</code>) – the name of the model to use.
+  Read [Cohere documentation](https://docs.cohere.com/docs/models#embed) for a list of all supported models.
 - **input_type** (<code>str</code>) – specifies the type of input you're giving to the model. Supported values are
-  "search_document", "search_query", "classification" and "clustering". Not
-  required for older versions of the embedding models (meaning anything lower than v3), but is required for
-  more recent versions (meaning anything bigger than v2).
+  "search_document", "search_query", "classification" and "clustering".
 - **api_base_url** (<code>str</code>) – the Cohere API Base url.
 - **truncate** (<code>str</code>) – truncate embeddings that are too long from start or end, ("NONE"|"START"|"END").
   Passing "START" will discard the start of the input. "END" will discard the end of the input. In both

docs-website/reference_versioned_docs/version-2.19/integrations-api/cohere.md

@@ -51,7 +51,7 @@ See https://docs.cohere.com/docs/models#embed for the full list.
 ```python
 __init__(
     api_key: Secret = Secret.from_env_var(["COHERE_API_KEY", "CO_API_KEY"]),
-    model: str = "embed-english-v2.0",
+    model: str = "embed-v4.0",
     input_type: str = "search_document",
     api_base_url: str = "https://api.cohere.com",
     truncate: str = "END",
@@ -64,18 +64,15 @@ __init__(
 ) -> None
 ```
 
+Initialize the CohereDocumentEmbedder.
+
 **Parameters:**
 
 - **api_key** (<code>Secret</code>) – the Cohere API key.
-- **model** (<code>str</code>) – the name of the model to use. Supported Models are:
-  `"embed-english-v3.0"`, `"embed-english-light-v3.0"`, `"embed-multilingual-v3.0"`,
-  `"embed-multilingual-light-v3.0"`, `"embed-english-v2.0"`, `"embed-english-light-v2.0"`,
-  `"embed-multilingual-v2.0"`. This list of all supported models can be found in the
-  [model documentation](https://docs.cohere.com/docs/models#representation).
+- **model** (<code>str</code>) – the name of the model to use.
+  Read [Cohere documentation](https://docs.cohere.com/docs/models#embed) for a list of all supported models.
 - **input_type** (<code>str</code>) – specifies the type of input you're giving to the model. Supported values are
-  "search_document", "search_query", "classification" and "clustering". Not
-  required for older versions of the embedding models (meaning anything lower than v3), but is required for
-  more recent versions (meaning anything bigger than v2).
+  "search_document", "search_query", "classification" and "clustering".
 - **api_base_url** (<code>str</code>) – the Cohere API Base url.
 - **truncate** (<code>str</code>) – truncate embeddings that are too long from start or end, ("NONE"|"START"|"END").
   Passing "START" will discard the start of the input. "END" will discard the end of the input. In both
@@ -358,7 +355,7 @@ See https://docs.cohere.com/docs/models#embed for the full list.
 ```python
 __init__(
     api_key: Secret = Secret.from_env_var(["COHERE_API_KEY", "CO_API_KEY"]),
-    model: str = "embed-english-v2.0",
+    model: str = "embed-v4.0",
     input_type: str = "search_query",
     api_base_url: str = "https://api.cohere.com",
     truncate: str = "END",
@@ -367,18 +364,15 @@ __init__(
 ) -> None
 ```
 
+Initialize the CohereTextEmbedder.
+
 **Parameters:**
 
 - **api_key** (<code>Secret</code>) – the Cohere API key.
-- **model** (<code>str</code>) – the name of the model to use. Supported Models are:
-  `"embed-english-v3.0"`, `"embed-english-light-v3.0"`, `"embed-multilingual-v3.0"`,
-  `"embed-multilingual-light-v3.0"`, `"embed-english-v2.0"`, `"embed-english-light-v2.0"`,
-  `"embed-multilingual-v2.0"`. This list of all supported models can be found in the
-  [model documentation](https://docs.cohere.com/docs/models#representation).
+- **model** (<code>str</code>) – the name of the model to use.
+  Read [Cohere documentation](https://docs.cohere.com/docs/models#embed) for a list of all supported models.
 - **input_type** (<code>str</code>) – specifies the type of input you're giving to the model. Supported values are
-  "search_document", "search_query", "classification" and "clustering". Not
-  required for older versions of the embedding models (meaning anything lower than v3), but is required for
-  more recent versions (meaning anything bigger than v2).
+  "search_document", "search_query", "classification" and "clustering".
 - **api_base_url** (<code>str</code>) – the Cohere API Base url.
 - **truncate** (<code>str</code>) – truncate embeddings that are too long from start or end, ("NONE"|"START"|"END").
   Passing "START" will discard the start of the input. "END" will discard the end of the input. In both

docs-website/reference_versioned_docs/version-2.20/integrations-api/cohere.md

@@ -51,7 +51,7 @@ See https://docs.cohere.com/docs/models#embed for the full list.
 ```python
 __init__(
     api_key: Secret = Secret.from_env_var(["COHERE_API_KEY", "CO_API_KEY"]),
-    model: str = "embed-english-v2.0",
+    model: str = "embed-v4.0",
     input_type: str = "search_document",
     api_base_url: str = "https://api.cohere.com",
     truncate: str = "END",
@@ -64,18 +64,15 @@ __init__(
 ) -> None
 ```
 
+Initialize the CohereDocumentEmbedder.
+
 **Parameters:**
 
 - **api_key** (<code>Secret</code>) – the Cohere API key.
-- **model** (<code>str</code>) – the name of the model to use. Supported Models are:
-  `"embed-english-v3.0"`, `"embed-english-light-v3.0"`, `"embed-multilingual-v3.0"`,
-  `"embed-multilingual-light-v3.0"`, `"embed-english-v2.0"`, `"embed-english-light-v2.0"`,
-  `"embed-multilingual-v2.0"`. This list of all supported models can be found in the
-  [model documentation](https://docs.cohere.com/docs/models#representation).
+- **model** (<code>str</code>) – the name of the model to use.
+  Read [Cohere documentation](https://docs.cohere.com/docs/models#embed) for a list of all supported models.
 - **input_type** (<code>str</code>) – specifies the type of input you're giving to the model. Supported values are
-  "search_document", "search_query", "classification" and "clustering". Not
-  required for older versions of the embedding models (meaning anything lower than v3), but is required for
-  more recent versions (meaning anything bigger than v2).
+  "search_document", "search_query", "classification" and "clustering".
 - **api_base_url** (<code>str</code>) – the Cohere API Base url.
 - **truncate** (<code>str</code>) – truncate embeddings that are too long from start or end, ("NONE"|"START"|"END").
   Passing "START" will discard the start of the input. "END" will discard the end of the input. In both
@@ -358,7 +355,7 @@ See https://docs.cohere.com/docs/models#embed for the full list.
 ```python
 __init__(
     api_key: Secret = Secret.from_env_var(["COHERE_API_KEY", "CO_API_KEY"]),
-    model: str = "embed-english-v2.0",
+    model: str = "embed-v4.0",
     input_type: str = "search_query",
     api_base_url: str = "https://api.cohere.com",
     truncate: str = "END",
@@ -367,18 +364,15 @@ __init__(
 ) -> None
 ```
 
+Initialize the CohereTextEmbedder.
+
 **Parameters:**
 
 - **api_key** (<code>Secret</code>) – the Cohere API key.
-- **model** (<code>str</code>) – the name of the model to use. Supported Models are:
-  `"embed-english-v3.0"`, `"embed-english-light-v3.0"`, `"embed-multilingual-v3.0"`,
-  `"embed-multilingual-light-v3.0"`, `"embed-english-v2.0"`, `"embed-english-light-v2.0"`,
-  `"embed-multilingual-v2.0"`. This list of all supported models can be found in the
-  [model documentation](https://docs.cohere.com/docs/models#representation).
+- **model** (<code>str</code>) – the name of the model to use.
+  Read [Cohere documentation](https://docs.cohere.com/docs/models#embed) for a list of all supported models.
 - **input_type** (<code>str</code>) – specifies the type of input you're giving to the model. Supported values are
-  "search_document", "search_query", "classification" and "clustering". Not
-  required for older versions of the embedding models (meaning anything lower than v3), but is required for
-  more recent versions (meaning anything bigger than v2).
+  "search_document", "search_query", "classification" and "clustering".
 - **api_base_url** (<code>str</code>) – the Cohere API Base url.
 - **truncate** (<code>str</code>) – truncate embeddings that are too long from start or end, ("NONE"|"START"|"END").
   Passing "START" will discard the start of the input. "END" will discard the end of the input. In both

docs-website/reference_versioned_docs/version-2.21/integrations-api/cohere.md

@@ -51,7 +51,7 @@ See https://docs.cohere.com/docs/models#embed for the full list.
 ```python
 __init__(
     api_key: Secret = Secret.from_env_var(["COHERE_API_KEY", "CO_API_KEY"]),
-    model: str = "embed-english-v2.0",
+    model: str = "embed-v4.0",
     input_type: str = "search_document",
     api_base_url: str = "https://api.cohere.com",
     truncate: str = "END",
@@ -64,18 +64,15 @@ __init__(
 ) -> None
 ```
 
+Initialize the CohereDocumentEmbedder.
+
 **Parameters:**
 
 - **api_key** (<code>Secret</code>) – the Cohere API key.
-- **model** (<code>str</code>) – the name of the model to use. Supported Models are:
-  `"embed-english-v3.0"`, `"embed-english-light-v3.0"`, `"embed-multilingual-v3.0"`,
-  `"embed-multilingual-light-v3.0"`, `"embed-english-v2.0"`, `"embed-english-light-v2.0"`,
-  `"embed-multilingual-v2.0"`. This list of all supported models can be found in the
-  [model documentation](https://docs.cohere.com/docs/models#representation).
+- **model** (<code>str</code>) – the name of the model to use.
+  Read [Cohere documentation](https://docs.cohere.com/docs/models#embed) for a list of all supported models.
 - **input_type** (<code>str</code>) – specifies the type of input you're giving to the model. Supported values are
-  "search_document", "search_query", "classification" and "clustering". Not
-  required for older versions of the embedding models (meaning anything lower than v3), but is required for
-  more recent versions (meaning anything bigger than v2).
+  "search_document", "search_query", "classification" and "clustering".
 - **api_base_url** (<code>str</code>) – the Cohere API Base url.
 - **truncate** (<code>str</code>) – truncate embeddings that are too long from start or end, ("NONE"|"START"|"END").
   Passing "START" will discard the start of the input. "END" will discard the end of the input. In both
@@ -358,7 +355,7 @@ See https://docs.cohere.com/docs/models#embed for the full list.
 ```python
 __init__(
     api_key: Secret = Secret.from_env_var(["COHERE_API_KEY", "CO_API_KEY"]),
-    model: str = "embed-english-v2.0",
+    model: str = "embed-v4.0",
     input_type: str = "search_query",
     api_base_url: str = "https://api.cohere.com",
     truncate: str = "END",
@@ -367,18 +364,15 @@ __init__(
 ) -> None
 ```
 
+Initialize the CohereTextEmbedder.
+
 **Parameters:**
 
 - **api_key** (<code>Secret</code>) – the Cohere API key.
-- **model** (<code>str</code>) – the name of the model to use. Supported Models are:
-  `"embed-english-v3.0"`, `"embed-english-light-v3.0"`, `"embed-multilingual-v3.0"`,
-  `"embed-multilingual-light-v3.0"`, `"embed-english-v2.0"`, `"embed-english-light-v2.0"`,
-  `"embed-multilingual-v2.0"`. This list of all supported models can be found in the
-  [model documentation](https://docs.cohere.com/docs/models#representation).
+- **model** (<code>str</code>) – the name of the model to use.
+  Read [Cohere documentation](https://docs.cohere.com/docs/models#embed) for a list of all supported models.
 - **input_type** (<code>str</code>) – specifies the type of input you're giving to the model. Supported values are
-  "search_document", "search_query", "classification" and "clustering". Not
-  required for older versions of the embedding models (meaning anything lower than v3), but is required for
-  more recent versions (meaning anything bigger than v2).
+  "search_document", "search_query", "classification" and "clustering".
 - **api_base_url** (<code>str</code>) – the Cohere API Base url.
 - **truncate** (<code>str</code>) – truncate embeddings that are too long from start or end, ("NONE"|"START"|"END").
   Passing "START" will discard the start of the input. "END" will discard the end of the input. In both