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.
1Open Slashspace and go to Settings, then Connectors.
2On Discover, search for Pinecone and click Connect.
3Sign in to Pinecone in your browser. Slashspace updates when the account is connected.
Then ask for what you need in any Agent mode chat. Pinecone is on in every chat unless you switch it off.
What your chats can do
48 tools from Pinecone.
Cancel Bulk ImportTool 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 AssistantTool 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 AssistantTool 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 IndexTool 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 AssistantTool 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 BackupTool 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 IndexTool 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 ModelTool 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 BackupTool to create an index from a backup. Use when you need to restore or duplicate index data from a previously saved backup.
Create NamespaceTool to create a namespace within a serverless Pinecone index. Use when you need to organize vectors into isolated partitions.
Delete AssistantTool to permanently delete a Pinecone assistant. Use when you need to remove an assistant from your project.
Delete BackupTool to delete a backup. Use when you need to permanently remove a backup from your project.
Delete FileTool 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 IndexTool 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 NamespaceTool 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 VectorsTool 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 BackupTool to retrieve detailed information about a specific backup. Use when you need to check backup status, configuration, or metadata.
Describe Bulk ImportTool 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 FileTool 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 IndexTool 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 StatsTool 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 NamespaceTool 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 JobTool 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 EmbeddingsTool 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 VectorsTool 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 StatusTool to retrieve the status and details of a Pinecone assistant. Use when you need to check assistant configuration, deployment status, or metadata.
Get Model InformationTool 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 AssistantsTool to list all assistants in a Pinecone project. Use when you need to retrieve all assistants with their configurations and status information.
List Bulk ImportsTool 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 CollectionsTool to list all collections in a Pinecone project (pod-based indexes only). Use when you need to view available collections.
List FilesTool 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 BackupsTool 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 IndexesTool to list all indexes in a Pinecone project. Use when you need to retrieve all indexes with their configurations and status information.
List Available ModelsTool 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 NamespacesTool 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 BackupsTool 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 JobsTool 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 VectorsTool 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 VectorsTool 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 DocumentsTool 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 ContextTool 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 NamespaceTool 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 ImportTool 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 AssistantTool 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 VectorTool 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 AssistantTool 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 NamespaceTool to upsert text records into a Pinecone namespace. Use when you need to add or update records with automatic text-to-vector conversion.
Upsert VectorsTool 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.
