Perplexity Cloud
Use Perplexity's models with your own API Key
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Use Perplexity's models with your own API Key
Last updated
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The Perplexity component allows you to integrate Perplexity into your flows. You can customize the parameters used by Perplexity component, and also specify the context of knowledge that the Perplexity component operates on, as well as provide the input query.
The Perplexity component UI changes depending on the model selected, as each model has differing available options. You can specify the exact model to run with the "Model" dropdown menu. These models range from Text to Image, GPT Chat, GPT Vision, Text to Speech models and more. See the Parameters table for more information on the available models to use.
The Perplexity component has the identifier of opa-X, where X represents the instance number of the Perplexity component.
The Perplexity component has the following input connections.
From data Loaders/ Data source/Vector DB
This input connection represents the context information for the Perplexity model
Must originate from a Data Loader/Data Source or VectorDB component.
From Input
This input connection represents the user query for the Perplexity model.
Must originate from a component that generates a text string as output such as a Python or Text Input component.
Credentials
You can specify to use your own Perplexity credentials
Model
The list of models displayed depends on the customer's credential.
Prompt
Describes how you want the OPerplexity model to respond. For example, you can specify the role, manner and rules that Open AIshould adhere to. Also mention the component ID to connect the components.
Enable caching
This option determines whether the results of the component are cached. This means that on the next run of the Flow, Diaflow will utilize the previous computed component output, as long as the inputs have not changed.
Caching time
Only applicable if the "Enable Caching" option has been enabled. This parameter controls how long Diaflow will wait before automatically clearing the cache.
The Perplexity component has the following output connections.
To Output
This output connection contains the text result of the Perplexity component.
Can be connected to any component that accepts a string input.
