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 an Agent or Smart Function component.
For more information, see Language model components.
Cohere text generation parameters
Some parameters are hidden by default in the visual editor. You can modify all parameters through the Controls in the component's header menu.
| Name | Type | Description |
|---|---|---|
| Input | String | Input parameter. Specifies the input text for text generation. |
| System Message | String | Input parameter. A system message to pass to the model. |
| Stream | Boolean | Input parameter. Whether to stream the response. Only works in chat. Default: false. |
| Cohere API Key | SecretString | Input parameter. Your Cohere API key. |
| Temperature | Float | Input parameter. Specifies the randomness of sampling. Lower values (near 0) are more deterministic, and higher values (near 1) are more creative. Defaults to 0.75. |
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
Some parameters are hidden by default in the visual editor. You can modify all parameters through the Controls in the component's header menu.
| Name | Type | Description |
|---|---|---|
| cohere_api_key | SecretString | 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. How to handle input that exceeds the model's token limit. One of NONE, START, or END (default). For more information, see the Cohere truncate API reference. |
| max_retries | Integer | Input parameter. The maximum number of retry attempts for failed requests. Default: 3 |
| user_agent | String | Input parameter. A user agent string to include in requests. Default: langchain |
| request_timeout | Float | Input parameter. The timeout duration for requests in seconds. Default: None |
Cohere Rerank
This component finds and reranks documents using the Cohere API.
Outputs Data containing the reranked documents, limited by the Top N parameter.
Cohere Rerank parameters
Some parameters are hidden by default in the visual editor. You can modify all parameters through the Controls in the component's header menu.
| Name | Type | Description |
|---|---|---|
| Search Query | String | Input parameter. The search query for reranking documents. |
| Search Results | Data | Input parameter. Connect search results output from a vector store component. Use this parameter to apply reranking after running a similarity search on your vector database. |
| Top N | Integer | Input parameter. The number of documents to return after reranking. Default: 3. |
| Cohere API Key | SecretString | Input parameter. Your Cohere API key. |
| Model | String | Input parameter. The re-ranker model to use. Default: rerank-english-v3.0 |
