Integrate Data Storage into your AI workflows
Using the Data Storage component, you can easily manage and operate on lists and objects by setting or retrieving any desired data. This process employs a key-value store mechanism, where the key represents the field's name and the value corresponds to the particular data's actual value.
Try for FreeTriggers & Actions
Append value to the end of a list. If the list does not exist, it will be created.
The numeric value can be incremented atomically, and the action can be used concurrently from multiple executions.
Retrieve all the currently existing keys from storage, along with their values within the provided scope.
Templates using Data Storage
Polls Gmail for new emails and uses OpenAI to classify each one into a single department label (Sales, Support, Finance, Operations, HR, or URGENT). The matching Gmail label is applied, the department's recipient address is stored, and the original email is forwarded to the correct team.
Retrieves an offices.csv object from AWS S3, reads it into rows, and loops over each row keeping only four selected columns. The reduced rows are collected into a list, written to a new CSV file, and uploaded back to S3 as offices_reduced.csv. The workflow runs on demand.
Polls Gmail for new emails. For each email, OpenAI extracts the patient name, doctor type, and requested date-time period. Free time slots are fetched from Google Calendar for that period, the workflow loops over them keeping only slots at least 45 minutes long, and OpenAI proposes a list of concrete 45-minute appointment options. The workflow replies to the original email with the suggestions.
Similar Integrations
Approval component for manual intervention in workflows.
Brave gives you access to the same powerful, independent search index that powers the privacy-first search engine trusted by millions.
Actions and triggers for using with the chat widget.
The Crypto Helper allows you to use cryptographic functions.
Reads and writes data from a csv file.
The Data Mapper enables you to configure data mappings.
Processes and transforms data in data streams.
Helper component for date and time manipulation.