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.