Making your first Callable
Last updated
Last updated
Callable is the serverless function that powers each copilot, or any of your AI workflows. Let's build a Callable today that helps recommend movies to watch!
One of the powerful features of Cortex is to let AI interact with your own data. Knowledge is where you store your data.
Head to the knowledge tab here and create a knowledge
Cortex supports multiple upload options. Let's use Web as our options. Enter the Knowledge name and description and go to the the next step
Navigate to Callable Builder and create a callable. Enter the name, description, and set the visibility. We will use "Chat" callable template, which is configured to work with Chat copilot.
Go to the RETRIEVALS block, and select rotten-tomateo as your knowledge. You could select multiple knowledge if you have more information.
You are almost there! Now the last thing to edit would be the prompt that passed into the language model. Let's modify the prompt in the language model block called OUTPUT_STREAM to this:
Let's also set the Max Tokens to around 2000.
We've configured our Callable. But how do we know if it will work well? Let's create some test datasets. Go to the Datasets tab and go into ChatDataset.
You can write a few new test cases like this:
Now you are good to run tests! Go back to Design tab and click Run TestCases.
Results from each block will be displayed below each block. We can go to the final OUTPUT block to check if the final results look good.
When you feel confident about your Callable's results, hit Deploy on the right top corner. The API for running this callable will be instantly generated, and now can integrate this into your product!
You could directly consume the Callable API from your project, or you can connect a copilot to this callable and start chatting with it immediately.
Create a new Copilot and configure it as such to connect to the callable.
Congratulations! Now you should be able to directly chat with your movie recommendation assistant.
Enter the url of Rotten Tomateo: . Follow the rest of the set up and your knowledge should be ready to go!
