TeamAI's workflows feature allows you to create custom flows by connecting various steps, such as scraping a webpage, browsing the internet, running custom plugins, and even adding datastores as context. In this article, we'll focus on how you can use datastores in your workflows to provide relevant context and enhance the overall functionality of your custom flows.
Connecting Datastores to Your Workflow
To add a datastore step to your workflow, follow these simple steps:
Create a new workflow or open an existing one.
At any point in your flow, click on the "Add" icon to add a new step.
From the list of available steps, select "Datastore Step."
In the datastore step configuration, select the collections and datastores you want to use as context for this step.
Provide a general query that describes the information you'd like to extract from the selected datastores.
Save the step and continue building your workflow.
By adding a datastore step to your workflow, you can seamlessly connect your inputs, internet search results, or scraped data to the context provided by your datastores.
How Datastore Integration Enhances Your Workflows
Integrating datastores into your workflows offers several benefits:
Relevant Context: By selecting specific collections and datastores, you can provide your workflow with highly relevant context, improving the accuracy and quality of the results.
Customization: You can tailor the datastore context to the specific needs of each workflow, ensuring that the information used is pertinent to the task at hand.
Efficiency: Datastore integration allows you to leverage your existing knowledge base, reducing the need for external searches and improving the overall efficiency of your workflows.
Consistency: By using datastores as a consistent source of information across your workflows, you can maintain a high level of consistency in your results and outputs.
Auto-updates: By using datastores as a consistent source of information across your workflows, you can also ensure that whenever your datastores are updated, your workflows automatically leverage the updated information.
Best Practices for Using Datastores in Workflows
To make the most of datastore integration in your workflows, consider the following best practices:
Select only the collections and datastores that are directly relevant to the purpose of your workflow to maintain focus and improve efficiency.
Provide clear and specific queries in your datastore steps to ensure that the most relevant information is extracted and used in your workflow.
Regularly review and update the datastores used in your workflows to ensure that the information remains accurate and up-to-date.
Test your workflows thoroughly to ensure that the datastore integration is functioning as intended and providing the desired results.
For more information on how workflows function and how to create your own custom flows, please refer to the TeamAI's Help Centre.
Conclusion
Integrating datastores into your TeamAI workflows is a powerful way to enhance the functionality and effectiveness of your custom flows. By providing relevant context and leveraging your existing knowledge base, you can create workflows that are more accurate, efficient, and consistent. If you have any questions or concerns about using datastores in your workflows, our support team is always here to help.