What can ModuleX do with Pinecone?

A ModuleX agent can run any of Pinecone's 9 actions — across queries, records, indexes and index stats — from a plain-English request, using your organization's own Pinecone credentials.

Does the Pinecone integration need a pre-built workflow?

No. The agent selects the right Pinecone action from your prompt. A workflow is only needed when you want a repeatable process — and the composer builds that for you from a description.

How does ModuleX authenticate with Pinecone?

Through a secure Pinecone connection; your credentials are stored encrypted and scoped to your organization.

How many Pinecone actions are available?

9, spanning queries, records, indexes and index stats.

Is Pinecone free to use in ModuleX?

Pinecone runs on your own credentials, so any Pinecone usage is billed by Pinecone directly. ModuleX meters the agent run — and if you connect your own model keys, there's no ModuleX markup on model usage.

Integrations

Pinecone integration

Vector Database · 9 actions · Custom auth

Managed vector database for machine learning applications with serverless and pod-based deployments. Pass-through access to your own Pinecone project: vector similarity search, raw-text search on integrated-embedding indexes, index management, and vector upsert/delete via the native REST API.

Put Pinecone to work View Pinecone integration docs

The ModuleX Pinecone integration lets a ModuleX agent operate Pinecone on your behalf — running create, remove and find actions across queries, records and indexes — directly from a plain-English request, using your organization's own Pinecone credentials. No pre-built workflow is required: the agent picks the right Pinecone action for the task.

Pinecone is a vector database platform. ModuleX adds the agent layer: ask for an outcome and it selects and runs the right Pinecone action — or, when you want a repeatable process, the composer assembles a Pinecone workflow for you, streaming the nodes onto the canvas as it builds.

Drive Pinecone in plain English

Type what you want. A ModuleX agent picks the right Pinecone action, or chains several, and runs it. No workflow to build.

“Create a serverless index”
resolves tocreate_index
“Find the index I describe and remove it”
resolves tolist_indexesdelete_index
“Delete vectors by ID list, by metadata filter, or all in a namespace”
resolves todelete_vectors
“Show me the queries that match what I describe”
resolves toquery

What you can automate with Pinecone

Find the right index and remove it in one promptlist_indexesdelete_index
Query your queries from a plain-English questionquery
Find the records that match what you describesearch_records
Upsert a vector without writing SQLupsert_vectors

Pinecone integration at a glance

VendorPinecone

CategoryVector Database

Actions available9

AuthenticationCustom

Uses your own credentialsYes

Works with the assistantYes

Works in the composerYes

Multi-step / tool-chainingYes

Technical referenceView docs

Integration version1.0.0

Last updatedJul 2026

All 9 Pinecone actions

Queries1

query

Vector similarity search on a Pinecone index. Takes a query vector — works on every index type. For raw-text queries, use search_records (integrated-embedding indexes only). Returns Pinecone's native matches.

Records1

search_records

Raw-text semantic search — Pinecone embeds the text server-side. Works ONLY on indexes created with integrated embedding; for all other indexes use query with a vector. Returns Pinecone's native hits.

Indexes4

list_indexes

List all indexes in the Pinecone project.

describe_index

Get an index's native config (dimension, metric, host, spec, status).

create_index

Create a serverless index.

delete_index

Delete an index.

Index Stats1

describe_index_stats

Get an index's stats (namespaces, dimension, totalVectorCount, indexFullness).

Vectors2

upsert_vectors

Insert or update Pinecone-native {id, values, metadata?} vectors in an index.

delete_vectors

Delete vectors by ID list, by metadata filter, or all in a namespace.

See full parameters and response schemas in the Pinecone integration docs

Two ways to use Pinecone in ModuleX

Ask the assistantType what you want done and a ModuleX agent picks the right Pinecone action and runs it. No workflow to build.

Compose a workflowNeed it to happen every time? Describe the process and the composer wires Pinecone into a repeatable workflow you can run on a schedule, from chat, or as an API.

Connecting Pinecone

CustomPinecone uses a custom authentication flow. ModuleX encrypts whatever credentials you supply and scopes them to your organization.

Step-by-step setup in the Pinecone docs

Pairs well with Pinecone

Agents often chain Pinecone with these. Connect them once and the agent can use all of them in a single task.

Qdrant7 actions

Weaviate7 actions

MongoDB Atlas6 actions

Pinecone + ModuleX FAQ

A ModuleX agent can run any of Pinecone's 9 actions — across queries, records, indexes and index stats — from a plain-English request, using your organization's own Pinecone credentials.

Put Pinecone to work in ModuleX.

Put Pinecone to work View technical docs

Connect Pinecone once with your own credentials and let your agent run all 9 actions on demand.

Last updated: Jul 2026Browse all 179 integrations