Trigger when a new collection is create.
This operation returns a list of your Pinecone indexes.
A new update is created for your company page.
A status update sharing some content is posted.
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.
Trigger when a new collection is create.
This operation returns a list of your Pinecone indexes.
A new update is created for your company page.
A status update sharing some content is posted.
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!
LinkedIn 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, LinkedIn integrates with more than 150 apps without any coding. Here is a list of some of popular LinkedIn integrations:
Here is how you can integrate LinkedIn with Slack:
With Appy Pie connect, LinkedIn integrates with Shopify without any coding. This LinkedIn-Shopify integration helps you stay on top of your Shopify tasks by automatically creating, updating, and organizing them in LinkedIn.
Appy Pie Connect allows you to integrate LinkedIn with Salesforce without any coding in just a few steps. This LinkedIn-Salesforce integration can automate multiple repetitive tasks between apps.
Here is how LinkedIn integrates with Facebook:
Use the most powerful applications integration platform
Get Started Free