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Integration / Developer Tools & DevOps

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.

About Pinecone

Pinecone is a fully managed vector database for high-performance AI memory and search. It lets you scale semantic search and retrieval without infrastructure overhead.

All integrations
Category
Developer Tools & DevOps, AI & Machine Learning
Connection
API key
Type
Tool
Actions
48
Tags
library

Example prompts

What you can ask Growf to do with Pinecone

  • Query all vectors similar to user question
  • Upsert document embeddings into a namespace
  • Delete vectors from the archive index

Available actions

48 actions your agents can run in Pinecone

  • 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 and citations.

  • 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 context.

  • 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 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 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 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.

Put Pinecone to work inside Growf.

Connect it once and every workspace, agent and workflow can use it — securely, with your team in the loop.