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.

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What your bot can do in Pinecone

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  • Describe Bulk ImportDescribe a specific bulk import operation in Pinecone.
  • Describe Index StatsGet index statistics including vector count per namespace, dimensions, and fullness.
  • Describe Restore JobGet detailed information about a specific restore job in Pinecone.
  • Generate EmbeddingsGenerate vector embeddings for input text using Pinecone's hosted embedding models.
  • List Available ModelsList all available embedding and reranking models hosted by Pinecone.
  • List Bulk ImportsList all recent and ongoing bulk import operations in Pinecone.
  • List CollectionsList all collections in a Pinecone project (pod-based indexes only).
  • List IndexesList all indexes in a Pinecone project.
  • List NamespacesList all namespaces in a serverless Pinecone index.
  • List Project BackupsList all backups for indexes in a Pinecone project.
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  • List VectorsList vector IDs in a Pinecone serverless index.
  • Query VectorsPerform semantic search within a Pinecone index using a query vector.
  • Rerank DocumentsRerank documents by semantic relevance to a query.
  • Search Records in NamespaceSearch records within a Pinecone namespace using text, vector, or ID query.
  • Describe BackupRetrieve detailed information about a specific backup.
  • Get Model InformationRetrieve detailed information about a specific model hosted by Pinecone.
  • List Index BackupsList all backups for a specific Pinecone index.
  • List Restore JobsList all restore jobs for a project with pagination support.

Takes action

  • Cancel Bulk ImportCancel a bulk import operation in Pinecone.
  • Configure IndexConfigure an existing Pinecone index, including pod type, replicas, deletion protection, and tags.
  • Create BackupCreate a backup of a Pinecone index for disaster recovery and version control.
  • Create IndexCreate a Pinecone index with specified configuration.
  • Create Index from BackupCreate an index from a backup.
  • Create Index with Embedding ModelCreate a Pinecone index with integrated embedding model for automatic vectorization.
  • Create NamespaceCreate a namespace within a serverless Pinecone index.
  • Delete IndexPermanently delete a Pinecone index.
  • Delete NamespacePermanently delete a namespace from a serverless index.
  • Start Bulk ImportStart an asynchronous bulk import of vectors from object storage (S3, GCS, or Azure Blob Storage) into a Pinecone index.
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  • Update VectorUpdate a vector in Pinecone by ID.
  • Upsert Records to NamespaceUpsert text records into a Pinecone namespace.

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