Pinecone Integration
Connect Pinecone to Arahi's no-code AI developers and automate workflows in minutes.
About the Pinecone integration
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. With Arahi AI, you can connect Pinecone to Abstract - IP Geolocation API, Algorithmia, Anthropic (Claude) and 1,500+ other apps using AI-powered workflows. No coding required — set up triggers, actions, and intelligent automation in minutes.
- Category
- AI & ML APIs
- Authentication
- keys
Pinecone automation use cases
- Content generation from brief
- Generate drafts with Pinecone from a content brief in Notion or Google Docs, no engineer in the loop.
- Inbound email classification
- Classify and route inbound emails with Pinecone — support, sales, billing, or trash.
- Document summarization
- Summarize uploaded PDFs and docs with Pinecone straight into the CRM or knowledge base.
- Sentiment-tagged CS routing
- Tag sentiment on every support ticket with Pinecone and route negative ones to seniors first.
Pinecone workflow examples
- Spin up tenant namespaces with Create Namespace
When Stripe confirms a new enterprise customer, then call Pinecone Create Namespace for their tenant and log the namespace ID into a Postgres tenants table.
Stripe confirms enterprise then Pinecone Create Namespace provisions tenant.
- Snapshot indexes using Create Backup
Each Friday, call Pinecone Create Backup and Describe Backup for production indexes, then email the success summary to the ML lead through Gmail for audit.
Pinecone Create Backup finishes then Gmail emails ML lead summary.
- Offboard churned customers via Delete Namespace
When HubSpot marks a customer churned, then call Pinecone Delete Namespace and Delete Index for dedicated resources and post confirmation in a Slack ops channel.
HubSpot marks churned then Pinecone Delete Namespace removes resources.
Pinecone actions
- 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.
- 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 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 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.
- 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 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 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.
- 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 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 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.
- 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 Vector
- Tool to update a vector in Pinecone by ID. Use to overwrite vector values and/or metadata. Supports bulk updates via metadata filters.
- 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.