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Get Started FreeTrigger when a new collection is create.
This operation returns a list of your Pinecone indexes.
Triggers a specified time before an appointment starts.
Triggers when a new appointment is scheduled.
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.
Adds an appointment.
Block off a new range of time on your schedule.
Adds a new coupon code.
Create a Client
Update note in Client
Trigger when a new collection is create.
This operation returns a list of your Pinecone indexes.
Triggers a specified time before an appointment starts.
Triggers when a new appointment is scheduled.
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.
Adds an appointment.
Block off a new range of time on your schedule.
Adds a new coupon code.
Create a Client
Update note in Client
Choose Pinecone as the trigger app, select event, authenticate & successfully Test
After completing the trigger test, select Acuity Scheduling as the action app from the list.
Connect your Acuity Scheduling account & authenticate it.
Select the data you want to send from Pinecone to Acuity Scheduling & your AI Agent is ready!
The Pinecone vector database makes it easy to build high-performance vector search applications. Developer-friendly, fully managed, and easily scalable without infrastructure hassles.
Acuity Scheduling is a cloud-based appointment scheduling application that allows business owners to manage their appointments from anywhere in the world.
The integration between Pinecone and Acuity Scheduling is a seamless process that allows for efficient data sharing and collaboration between the two applications. Here's a step-by-step guide on how this integration works:
While assessing the security of integrating Pinecone with Acuity Scheduling, one must ensure the encryption protocols are strong when transmitting data between both apps. Appy Pie is compliant with various data protection regulations like GDPR and CCPA. It also offers two-factor authentication and encryption. Here's a concise guide to assessing the security of the Pinecone-Acuity Scheduling integration:
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