Pinecone Connector
Pinecone
Pinecone is a vector database for AI applications.
List collections
This operation returns a list of your Pinecone collections.
Create collection
This operation creates a Pinecone collection.
Describe collection
Get a description of a collection.
Delete Collection
This operation deletes an existing collection.
List indexes
This operation returns a list of your Pinecone indexes.
Create index
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.
Describe index
Get a description of an index.
Delete Index
This operation deletes an existing index.
Configure index
This operation specifies the pod type and number of replicas for an index.
Describe Index Stats
The `DescribeIndexStats` operation returns statistics about the index's contents, including the vector count per namespace and the number of dimensions.
Query
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.
Delete
The `Delete` operation deletes vectors, by id, from a single namespace. You can delete items by their id, from a single namespace.
Fetch
The `Fetch` operation looks up and returns vectors, by ID, from a single namespace. The returned vectors include the vector data and/or metadata.
Fetch
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.
Upsert
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.
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