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The Pinecone node adds Pinecone operations to your workflows. Add it on the canvas or ask the AI builder for it by name, then pick an operation and fill in its fields.
You can wire the Pinecone node into an AI agent as a tool provider: the agent calls the operations you allow. See Agent tools.

Credentials

Connect Pinecone under Credentials in the node settings. See Connecting credentials for the general flow. Enter the values manually when creating the credential. Get your credentials here.

Operations

Bulk import

OperationIDDescription
Cancel Importcancel_importCancel a pending or in-progress bulk import operation.
Describe Importdescribe_importGet the status and details of a specific bulk import operation.
List Importslist_importsList all bulk import operations for an index.
Start Importstart_importStart an async bulk import of Parquet vectors from S3, GCS, or Azure Blob.

Documents

OperationIDDescription
Upload & Index Documentupload_and_indexUpload a document file, chunk + embed it with text-embedding-3-small, and upsert.

Index

OperationIDDescription
Configure Indexconfigure_indexChange deletion protection or pod replica/type on an existing index.
Create Indexcreate_indexCreate a new serverless index.
Delete Indexdelete_indexDelete an index and all its vectors permanently.
Describe Indexdescribe_indexGet full details for a single index: status, host, metric, dimension, spec.
List Indexeslist_indexesList all indexes in the project.

Inference

OperationIDDescription
Generate Embeddingsgenerate_embeddingsGenerate dense embeddings using Pinecone’s hosted models.
Rerank DocumentsrerankRerank a set of documents against a query using Pinecone’s reranking model.

Integrated inference

OperationIDDescription
Create Index for Modelcreate_index_for_modelCreate a text-native index that embeds content server-side (no dimension needed).
Search Records (Text-Native)search_recordsSearch a text-native index with a text query (server-side embedding + optional rerank).
Upsert Records (Text-Native)upsert_recordsUpsert text records into a text-native index (server-side embedding, no vectors needed).

Vectors

OperationIDDescription
Delete VectorsdeleteDelete vectors by ID, by metadata filter, or clear a namespace.
Describe Index Statsdescribe_index_statsGet per-namespace vector counts, total dimension, and index fullness.
Fetch VectorsfetchFetch vectors by their IDs.
List Vectorslist_vectorsList vector IDs in a namespace by prefix (serverless indexes only).
Query / SearchqueryFind the most similar vectors to a query vector (similarity search).
Update Vectorupdate_vectorPartially update values or metadata on a single existing vector.
Upsert VectorsupsertInsert or overwrite vectors in an index.