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Integration​

New integration from credential
pineconeClient = yepcode.integration.pinecone('credential-slug')
New integration from plain authentication data
from pinecone import Pinecone

pineconeClient = Pinecone(api_key="YOUR_API_KEY")

Create Index​

Creates an index
pineconeClient.create_index(name="example-index", dimension=1024)

List Indexes​

List indexes in your current project
active_indexes = pineconeClient.list_indexes()

Construct an Index Object​

Construct an index objet with an existing index name
index = pineconeClient.Index("example-index");

Describe Index​

Describes an index
index_description = pineconeClient.describe_index("example-index")

Delete Index​

Deletes an index
pineconeClient.delete_index("example-index")

Scale Replicas​

Sets the number of replicas and pod type for an index
new_number_of_replicas = 4
pineconeClient.configure_index("example-index", replicas=new_number_of_replicas)

Upsert Vectors​

Upserts vector to an index
index = pineconeClient.Index("example-index")

upsert_response = index.upsert(
    vectors=[
        (
         "vec1",                # Vector ID
         [0.1, 0.2, 0.3, 0.4],  # Dense vector values
         {"genre": "drama"}     # Vector metadata
        ),
        (
         "vec2",
         [0.2, 0.3, 0.4, 0.5],
         {"genre": "action"}
        )
    ],
    namespace="example-namespace"
)

Query an Index​

Queries an index filtering
index = pineconeClient.Index("example-index")

query_response = index.query(
    namespace="example-namespace",
    top_k=10,
    include_values=True,
    include_metadata=True,
    vector=[0.1, 0.2, 0.3, 0.4],
    filter={
        "genre": {"$in": ["comedy", "documentary", "drama"]}
    }
)

Update Vector​

Updates a vector
index = pineconeClient.Index("example-index")

update_response = index.update(
    id="vec1",
    values=[0.1, 0.2, 0.3, 0.4],
    set_metadata={"genre": "drama"},
    namespace="example-namespace"
)

Delete Vector​

Deletes a vector
index = pineconeClient.Index("example-index")

delete_response = index.delete(ids=["vec1", "vec2"], namespace="example-namespace")

Create Collection​

Creates a collection from an index
pineconeClient.create_collection(
  name="example-collection",
  source="example-index"
)

List Collections​

List the collections from in the current project
active_collections = pineconeClient.list_collections()

Describe Collection​

Returns a description of one collection
collection_description = pineconeClient.describe_collection("example-collection")

Delete Collection​

Delete a collection
pineconeClient.delete_collection("example-collection")