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Pinecone

artificial intelligence 48 tools available

Long-term Memory for AI. The Pinecone vector database makes it easy to build high-performance vector search applications. Developer-friendly, fully managed, and easily scalable without infrastructure hassles.

About this integration

Connect Pinecone to Definable to route to the best model per task, mix providers in one workflow, fall back on rate-limits. Personas call Pinecone's 48 tools directly from chat or scheduled flows. Add it to your persona's available models and route requests to it where it fits best.

Connect Pinecone to Definable and it becomes a set of typed tools your agents plan with — triggered by events, run on schedules, or invoked mid-conversation. Every write is checked by the verifier before it lands.

Auth OAuth2 · 2 clicks
Tools 48 exposed
Plans All, incl. Free
Data Never trained on

Pinecone · in workflows

What teams actually run.

Three patterns teams run with Pinecone on day one. Each one is a plain-English prompt — no canvas, no glue code — and you can remix them into anything.

01

Multi-provider routing

Persona decides which model fits
Calls this provider when its strengths apply
Falls back to alternatives on rate-limits
02

Specialised pipeline

Use this provider for one stage
Pipe to a different model for the next
Combine outputs in the response

48 tools available

The Pinecone toolbox.

Every Pinecone capability your agents can call, each with a typed schema the planner reads. The router picks the right tool per step; the verifier checks the result.

Cancel Bulk Import

Tool to cancel a bulk import operation in Pinecone. Use when you need to stop an ongoing import operation that is not yet finished.

Chat with Assistant

Tool to chat with a Pinecone assistant and get structured responses with citations. Use when you need to query an assistant that has access to your knowledge base and want to get back answers with document references and citations.

Chat with Assistant

Tool to chat with a Pinecone assistant through an OpenAI-compatible interface. Use when you need to interact with a Pinecone assistant that has access to indexed documents and can answer questions based on retrieved context.

Configure Index

Tool to configure an existing Pinecone index, including pod type, replicas, deletion protection, and tags. Use when you need to scale an index vertically or horizontally, enable/disable deletion protection, or update tags. The change is asynchronous; check index status for completion.

Create Assistant

Tool to create a new Pinecone assistant for RAG (Retrieval-Augmented Generation) applications. Use when you need to initialize a new assistant that can have files uploaded and support chat interactions.

Create Backup

Tool to create a backup of a Pinecone index for disaster recovery and version control. Use when you need to preserve the current state of an index including vectors, metadata, and configuration.

Create Index

Tool to create a Pinecone index with specified configuration. Use when you need to initialize a new vector database index for storing and querying embeddings.

Create Index with Embedding Model

Tool to create a Pinecone index with integrated embedding model for automatic vectorization. Use when you need to set up a new index that automatically converts text to vectors using a pre-configured embedding model.

Create Index from Backup

Tool to create an index from a backup. Use when you need to restore or duplicate index data from a previously saved backup.

Create Namespace

Tool to create a namespace within a serverless Pinecone index. Use when you need to organize vectors into isolated partitions.

Delete Assistant

Tool to permanently delete a Pinecone assistant. Use when you need to remove an assistant from your project.

Delete Backup

Tool to delete a backup. Use when you need to permanently remove a backup from your project.

Delete File

Tool to delete an uploaded file from a Pinecone assistant. Use when you need to remove a file that was previously uploaded to an assistant.

Delete Index

Tool to permanently delete a Pinecone index. Use when you need to remove an index from your project. Note: Deletion protection and pending collections can prevent deletion.

Delete Namespace

Tool to permanently delete a namespace from a serverless index. Use when you need to remove an entire namespace and all its data. This operation is irreversible and only supported on serverless indexes.

Delete Vectors

Tool to delete vectors by ID from a Pinecone index. Use when you need to remove specific vectors from a namespace. Supports deletion by IDs, metadata filter, or entire namespace deletion.

Describe Backup

Tool to retrieve detailed information about a specific backup. Use when you need to check backup status, configuration, or metadata.

Describe Bulk Import

Tool to describe a specific bulk import operation in Pinecone. Use when you need to retrieve detailed information about an import's status, progress, timing, and any errors.

Describe File

Tool to get the status and metadata of a file uploaded to a Pinecone assistant. Use when you need to check file processing status, retrieve file metadata, or get a temporary signed URL for accessing the file contents.

Describe Index

Tool to retrieve full Pinecone index configuration including host and integrated embedding settings. Use when you need to check if an index has integrated inference (embed config) to avoid 'Integrated inference is not configured' errors by choosing the appropriate search method.

Describe Index Stats

Tool to get index statistics including vector count per namespace, dimensions, and fullness. Use when you need to understand the contents and status of an index.

Describe Namespace

Tool to describe a namespace in a serverless index, including the total number of vectors. Use when you need to get metadata about a namespace such as record count and indexed fields.

Describe Restore Job

Tool to get detailed information about a specific restore job in Pinecone. Use when you need to check the status, progress, or metadata of a restore operation.

Generate Embeddings

Tool to generate vector embeddings for input text using Pinecone's hosted embedding models. Use when you need to convert text into vector representations for semantic search or similarity matching.

Fetch Vectors

Tool to fetch vectors by ID from a Pinecone index. Use when you need to retrieve vector data and metadata for specific vector IDs from a single namespace.

Get Assistant Status

Tool to retrieve the status and details of a Pinecone assistant. Use when you need to check assistant configuration, deployment status, or metadata.

Get Model Information

Tool to retrieve detailed information about a specific model hosted by Pinecone. Use when you need to understand model capabilities for embedding and reranking operations.

List Assistants

Tool to list all assistants in a Pinecone project. Use when you need to retrieve all assistants with their configurations and status information.

List Bulk Imports

Tool to list all recent and ongoing bulk import operations in Pinecone. Use when you need to monitor or track the status of data import jobs. Supports pagination with a default limit of 100 imports per page.

List Collections

Tool to list all collections in a Pinecone project (pod-based indexes only). Use when you need to view available collections.

List Files

Tool to list all files in a Pinecone assistant with optional metadata filtering. Use when you need to retrieve files uploaded to a specific assistant or filter files by metadata properties.

List Index Backups

Tool to list all backups for a specific Pinecone index. Use when you need to view available backups for an index. Supports pagination via limit and paginationToken parameters.

List Indexes

Tool to list all indexes in a Pinecone project. Use when you need to retrieve all indexes with their configurations and status information.

List Available Models

Tool to list all available embedding and reranking models hosted by Pinecone. Use when you need to discover available models or filter by model type (embed/rerank) or vector type (dense/sparse).

List Namespaces

Tool to list all namespaces in a serverless Pinecone index. Use when you need to discover available namespaces for data organization. Returns up to 100 namespaces by default with pagination support.

List Project Backups

Tool to list all backups for indexes in a Pinecone project. Use when you need to retrieve backup information across all project indexes. Supports pagination with limit and paginationToken parameters.

List Restore Jobs

Tool to list all restore jobs for a project with pagination support. Use when you need to view the status of restore operations or track restore progress.

List Vectors

Tool to list vector IDs in a Pinecone serverless index. Use when you need to browse or retrieve vector identifiers from a namespace. Supports filtering by prefix and pagination for large result sets.

Query Vectors

Tool to perform semantic search within a Pinecone index using a query vector. Retrieves IDs and similarity scores of the most similar items, ordered from most to least similar. Either vector or id parameter must be provided.

Rerank Documents

Tool to rerank documents by semantic relevance to a query. Use when you need to order retrieved documents by their semantic relevance to a user's search query using Pinecone's hosted reranking models.

Retrieve Assistant Context

Tool to retrieve context snippets from a Pinecone assistant for RAG or agentic workflows. Use when you need to fetch relevant document snippets based on a query or conversation messages to provide context for language model responses.

Search Records in Namespace

Tool to search records within a Pinecone namespace using text, vector, or ID query. Use when you need to find similar records based on embeddings or record IDs. Results can optionally be reranked for relevance.

Start Bulk Import

Tool to start an asynchronous bulk import of vectors from object storage (S3, GCS, or Azure Blob Storage) into a Pinecone index. Use when you need to import large volumes of vectors from external storage. Returns an import ID to track the operation status.

Update Assistant

Tool to update an assistant's instructions and configuration in Pinecone. Use when you need to modify an existing assistant's behavior by changing its instructions or metadata. Updates are applied immediately.

Update Vector

Tool to update a vector in Pinecone by ID. Use to overwrite vector values and/or metadata. Supports bulk updates via metadata filters.

Upload File to Assistant

Tool to upload a file to a Pinecone assistant for processing. Use when you need to add documents, PDFs, or other files to an assistant for knowledge retrieval or multimodal processing.

Upsert Records to Namespace

Tool to upsert text records into a Pinecone namespace. Use when you need to add or update records with automatic text-to-vector conversion.

Upsert Vectors

Tool to upsert vectors into a Pinecone namespace, overwriting existing vector IDs. Use when you need to add or update vectors with their dense and/or sparse values and metadata.

See it run

One prompt, start to finish.

A real prompt, the Pinecone tools it calls, and what comes back. This is the whole interface — describe the outcome, agents handle the rest.

Run a real Pinecone task end-to-end — plan it, execute across the API, and hand back a verified result.

pinecone.cancel_bulk_import Tool to cancel a bulk import operation in Pinecone. Use when you need to stop an ongoing i
pinecone.chat_with_assistant Tool to chat with a Pinecone assistant and get structured responses with citations. Use wh
pinecone.chat_with_assistant Tool to chat with a Pinecone assistant through an OpenAI-compatible interface. Use when yo · verified
done

Done. Pinecone responded across 3 calls, the verifier signed off, and the result is logged with every payload.

Pairs well with Pinecone

Connect Pinecone to your stack with Workflow

AI-native automation between Pinecone and 92+ other tools — built, run, and self-healed by Workflow.

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FAQ · Pinecone

Questions, answered.

What teams ask before connecting Pinecone.

01 What can I automate with Pinecone on Definable?

Anything Pinecone exposes through its API. Common artificial intelligence workflows on Definable include route to the best model per task, mix providers in one workflow, fall back on rate-limits. Personas can call any of the 48 Pinecone tools directly, then chain the result into another integration without you writing code.

02 How does Pinecone authentication work?

Pinecone uses API_KEY, OAUTH2 on Definable. You connect once from the integrations page, scoped to the permissions you choose, and from then on any persona that has the integration enabled can act on your behalf. Tokens are encrypted at rest and rotated automatically.

03 Is the Pinecone integration included in my Definable plan?

Yes — every Definable plan, including Starter, includes access to all 48 Pinecone tools. You only need a separate Pinecone subscription if Pinecone itself charges per seat or per API call.

04 Is using Pinecone through Definable secure?

Every call from a persona to Pinecone is logged with the user, persona, prompt, and response. Tokens never leave Definable's secrets vault, scopes are configurable per persona, and you can revoke access at any time from the integration page.

05 How do I get started with Pinecone on Definable?

Sign up for Definable, open the integrations page, find Pinecone, and connect via OAuth or API key. You can immediately attach Pinecone to any persona and start running workflows. The free Starter plan includes 5,000 credits/month.

06 What Pinecone actions does Definable expose?

Definable exposes all 48 Pinecone actions as callable tools — including `Cancel Bulk Import`, `Chat with Assistant`, `Chat with Assistant`, plus 45 more. Each tool gets a typed parameter schema so personas know exactly how to call it.

Put Pinecone to work tonight.

Connect in two clicks, describe an outcome, and your first workflow is live in minutes. Free plan included — no card required.

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