Pinecone

Upsert, update, fetch, list and query vectors and namespaces in a Pinecone index for semantic search and RAG.

Keep a vector index in step with business records so search and AI assistants use current data.

Build a flow with Pinecone Provider API documentation

Source actions

Destination actions

Data types

Validation status

Implemented · fixture tested.

Implementation is checked against provider-shaped fixtures for every action, authentication failures, rate limits, pagination and duplicate safety. Provider sandbox and authorised account validation are recorded separately when credential-backed runs are completed.

What you can map

index stats

Get index statistics
Source
Vector counts per namespace, dimension, metric and fullness, optionally for vectors matching a filter.

namespaces

Create namespace
Destination
Duplicate protected
Creates a namespace, optionally declaring which metadata fields are indexed for filtering.
Get namespace
Source
Record count, size and metadata schema for one namespace.
List namespaces
Source
Namespaces in a serverless index with record counts.

vector batches

Upsert vectors in batch
Destination
Duplicate protected
Creates or replaces up to 500 vectors by ID in one request.

vector ids

List vector IDs
Source
Vector IDs in a namespace, optionally by ID prefix (serverless indexes).

vectors

Fetch vector
Source
Fetches one vector with its values and metadata by ID.
Fetch vectors by metadata
Source
Pages through vectors whose metadata matches a filter.
Query vectors
Source
Finds the most similar vectors to a query vector or an existing vector ID, with an optional metadata filter.
Update vector
Destination
Duplicate protected
Updates one vector's values or merges metadata fields by ID; unspecified metadata is kept.
Upsert vector
Destination
Duplicate protected
Creates or replaces one vector by ID with values and metadata.

Authentication

Pinecone API key

Plans and access

Starter (free), Standard and Enterprise projects. Vector ID listing and namespace operations are supported only on serverless indexes.

Test environment

The Starter plan can be used for testing.

Rate limits

Per-index read and write unit limits and request size limits (upsert up to 1,000 records or 2 MB); HTTP 429 when exceeded.

Provider events

Pinecone does not deliver data webhooks. Nexra event triggers are not yet available; flows run on demand or on a schedule.

Before you build a flow

Each connection targets one index host. Control-plane operations on api.pinecone.io (list, describe and create indexes) are not available because a recipe has a single API origin.
Integrated inference, the records and documents APIs, bulk import, backups and deletes are not exposed.
Fetch reads one vector ID per call because the engine sends single-valued query parameters.
API version 2026-07 is pinned.