New: every message picks a fast or a slow model

Pinecone

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.

What agents can do

Actions30

  • Cancel bulk import

    Tool to cancel a bulk import operation in Pinecone.

  • Configure index

    Tool to configure an existing Pinecone index, including pod type, replicas, deletion protection, and tags.

  • Create backup

    Tool to create a backup of a Pinecone index for disaster recovery and version control.

  • Create index

    Tool to create a Pinecone index with specified configuration.

  • Create index for model

    Tool to create a Pinecone index with integrated embedding model for automatic vectorization.

  • Create index from backup

    Tool to create an index from a backup.

  • Create namespace

    Tool to create a namespace within a serverless Pinecone index.

  • Delete index

    Tool to permanently delete a Pinecone index.

22 more
  • Delete namespace

    Tool to permanently delete a namespace from a serverless index.

  • Describe backup

    Tool to retrieve detailed information about a specific backup.

  • Describe bulk import

    Tool to describe a specific bulk import operation in Pinecone.

  • Describe index stats

    Tool to get index statistics including vector count per namespace, dimensions, and fullness.

  • Describe restore job

    Tool to get detailed information about a specific restore job in Pinecone.

  • Embed

    Tool to generate vector embeddings for input text using Pinecone's hosted embedding models.

  • Get model

    Tool to retrieve detailed information about a specific model hosted by Pinecone.

  • List bulk imports

    Tool to list all recent and ongoing bulk import operations in Pinecone.

  • List collections

    Tool to list all collections in a Pinecone project (pod-based indexes only).

  • List index backups

    Tool to list all backups for a specific Pinecone index.

  • List indexes

    Tool to list all indexes in a Pinecone project.

  • List models

    Tool to list all available embedding and reranking models hosted by Pinecone.

  • List namespaces operation

    Tool to list all namespaces in a serverless Pinecone index.

  • List project backups

    Tool to list all backups for indexes in a Pinecone project.

  • List restore jobs

    Tool to list all restore jobs for a project with pagination support.

  • List vectors

    Tool to list vector IDs in a Pinecone serverless index.

  • Query vectors

    Tool to perform semantic search within a Pinecone index using a query vector.

  • Rerank

    Tool to rerank documents by semantic relevance to a query.

  • Search records namespace

    Tool to search records within a Pinecone namespace using text, vector, or ID query.

  • 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.

  • Update vector

    Tool to update a vector in Pinecone by ID.

  • Upsert records namespace

    Tool to upsert text records into a Pinecone namespace.

How it connects

You sign in to Pinecone in a window. Composio, our app-connections provider, holds the sign-in; Definable keeps only a reference to it.

Keep the connection to yourself or share it with your workspace. Any action that writes or sends can wait for your approval.