Powerful Pinecone vector database manager for VS Code. Create indexes, query vectors, browse namespaces, test RAG flows, and connect to local Docker or cloud Pinecone.
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
Pinecone Studio is a thin client. It needs a reachable HTTP endpoint that speaks the
Pinecone API (for example, a hosted Pinecone index or a local gateway).
You can point Pinecone Studio at any Pinecone-compatible endpoint, for example:
https://api.pinecone.io for a hosted project
http://localhost:5081 for a local proxy or gateway
You can change this URL in:
The VS Code Studio connect form
The web workbench connection panel
Or via the pineconeStudio.defaultEndpoint VS Code setting
Features
Connect to a Pinecone-compatible manager endpoint
List indexes with dimensions, metric, and type
Select an active index and see high-level stats
Run similarity queries with:
Namespace
Top K
Vector input
Include values / metadata toggles
Send raw HTTP requests to the manager to explore advanced APIs
All HTTP calls are executed from the VS Code extension host, so the webview does not need CORS access to localhost