Cohere
Bundles contain custom components that support specific third-party integrations with Langflow.
This page describes the components that are available in the Cohere bundle.
For more information about Cohere features and functionality used by Cohere components, see the Cohere documentation.
Cohere text generation
This component generates text using Cohere's language models.
It can output either a Model Response (Message) or a Language Model (LanguageModel).
Use the Language Model output when you want to use a Cohere model as the LLM for another LLM-driven component, such as a Language Model or Smart Function component.
For more information, see Language Model components.
Cohere text generation parameters
Many Cohere component input parameters are hidden by default in the visual editor. You can toggle parameters through the Controls in the component's header menu.
| Name | Type | Description |
|---|---|---|
| Cohere API Key | SecretString | Input parameter. Your Cohere API key. |
| Max Tokens | Integer | Input parameter. Specifies the maximum number of tokens to generate. Defaults to 256. |
| Temperature | Float | Input parameter. Specifies the sampling temperature. Defaults to 0.75. |
| Input Value | String | Input parameter. Specifies the input text for text generation. |
Cohere Embeddings
The Cohere Embeddings component is used to load embedding models from Cohere.
For more information about using embedding model components in flows, see Embedding Model components.
Cohere Embeddings parameters
| Name | Type | Description |
|---|---|---|
| cohere_api_key | String | Input parameter. The API key required to authenticate with the Cohere service. |
| model | String | Input parameter. The language model used for embedding text documents and performing queries. Default: embed-english-v2.0. |
| truncate | Boolean | Input parameter. Whether to truncate the input text to fit within the model's constraints. Default: False. |
