Connect Pinecone with Hookshot™ and your stack

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.

Tools and triggers

What Agents can do in Pinecone

Available tools and events after Pinecone is connected.

  • 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…

  • 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…

  • 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…

  • 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 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 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 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…

  • 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.

  • 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.

Setup

Connect Pinecone in Hookshot™

Pick a scope, then confirm what can start a Protege and what it can do.

Trigger Access

What can start a Protege from this app.

Tool Access

What a Protege can do after it starts.

Connection scope

Prefer team for production.

Team

Shared credential for production and unattended runs.

Personal

Tied to one user—only when the workflow needs their account.

Chat

Team-scoped for supported chat surfaces.

Full setup guide

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Hookshot™ setup screen — AI agent workflow configuration with model selection, trigger status, and governance controls.