Triggers when a new push notification is created
Triggers when a new service is created
Triggers when a new user is created
Trigger when a new collection is create.
This operation returns a list of your Pinecone indexes.
Confirm a pending user
Create a service
Creates a Trigger
Creates a User
Delete a pus notification
Delete a trigger
Delete a User
Disable a User
Enable a User
Update a trigger
This operation creates a Pinecone collection.
This operation creates a Pinecone index. You can use it to specify the measure of similarity, the dimension of vectors to be stored in the index, the numbers of replicas to use, and more.
The Delete operation deletes vectors, by id, from a single namespace. You can delete items by their id, from a single namespace.
The Fetch operation looks up and returns vectors, by ID, from a single namespace. The returned vectors include the vector data and/or metadata.
The Query operation searches a namespace, using a query vector. It retrieves the ids of the most similar items in a namespace, along with their similarity scores.
The Update operation updates vector in a namespace. If a value is included, it will overwrite the previous value. If a set_metadata is included, the values of the fields specified in it will be added or overwrite the previous value.
The Upsert operation writes vectors into a namespace. If a new value is upserted for an existing vector id, it will overwrite the previous value.
Triggers when a new push notification is created
Triggers when a new service is created
Triggers when a new user is created
Trigger when a new collection is create.
This operation returns a list of your Pinecone indexes.
Confirm a pending user
Create a service
Creates a Trigger
Creates a User
Delete a pus notification
Delete a trigger
Delete a User
Disable a User
Enable a User
Update a trigger
This operation creates a Pinecone collection.
This operation creates a Pinecone index. You can use it to specify the measure of similarity, the dimension of vectors to be stored in the index, the numbers of replicas to use, and more.
The Delete operation deletes vectors, by id, from a single namespace. You can delete items by their id, from a single namespace.
The Fetch operation looks up and returns vectors, by ID, from a single namespace. The returned vectors include the vector data and/or metadata.
The Query operation searches a namespace, using a query vector. It retrieves the ids of the most similar items in a namespace, along with their similarity scores.
The Update operation updates vector in a namespace. If a value is included, it will overwrite the previous value. If a set_metadata is included, the values of the fields specified in it will be added or overwrite the previous value.
The Upsert operation writes vectors into a namespace. If a new value is upserted for an existing vector id, it will overwrite the previous value.
Choose a trigger app you want, select event, authenticate & successfully Test
After Completing Trigger test Continue to Select “Action App” from the list.
Select a resulting action from the Action Event list & authenticate your Action App.
Select the data you want to send from Trigger to Action & Your Connect is ready!
MongoDB Realm costs nothing for the Free-Forever plan. The free plan comes with some pretty restrictive limitations one power-up per board at a time, no custom images on the background of the board and 50 command runs per month on Butler Automation. However, its business plan costs $9.99 per user annually and costs for the Enterprise plan vary based on the number of users.
With Appy Pie Connect, MongoDB Realm integrates with more than 150 apps without any coding. Here is a list of some of popular MongoDB Realm integrations:
Here is how you can integrate MongoDB Realm with Slack:
With Appy Pie connect, MongoDB Realm integrates with Shopify without any coding. This MongoDB Realm-Shopify integration helps you stay on top of your Shopify tasks by automatically creating, updating, and organizing them in MongoDB Realm.
Appy Pie Connect allows you to integrate MongoDB Realm with Salesforce without any coding in just a few steps. This MongoDB Realm-Salesforce integration can automate multiple repetitive tasks between apps.
Here is how MongoDB Realm integrates with Facebook:
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