Pinecone Connector

Pinecone

Pinecone is a vector database for AI applications.

Operations

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.