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Pinecone Studio

Pinecone Studio

Harish Kaparwan

|
33 installs
| (1) | Free
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.
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Pinecone Studio

Pinecone Studio

The Pinecone Vector Database Studio for VS Code

Create indexes · Browse namespaces · Query vectors · Test RAG flows — without leaving your editor.


VS Code Installs Rating License: MIT


Overview

Pinecone Studio is a VS Code-native manager for Pinecone vector databases. Connect to Pinecone Cloud, a local Pinecone-compatible gateway, or a manager endpoint to create indexes, inspect namespaces, run similarity queries, and debug raw API responses from inside your editor.

It is designed for AI engineers building semantic search, retrieval augmented generation, recommendation systems, and embedding-heavy applications.


Features

Capability Description
🔌 Cloud & Local Connect Connect to Pinecone Cloud or a local Pinecone-compatible manager endpoint
🧭 Index Explorer List indexes with dimensions, metrics, type, host, and status
🧱 Index Management Create and inspect indexes from the workbench
🧬 Vector Tools Upsert, fetch, and inspect vector records by namespace
🔍 Query Playground Run similarity queries with top K, vector input, values, and metadata options
🧪 RAG Testing Quickly validate embeddings, namespaces, and retrieval payloads
🧰 Raw API Panel Send custom requests to advanced Pinecone endpoints
🌉 Extension-Host Bridge Network calls run through the extension host so local endpoints avoid webview CORS issues

Quick Start

Step 1 — Install

Search Pinecone Studio in the Extensions panel (Ctrl+Shift+X) or run:

ext install harishkaparwan.pinecone-studio

Step 2 — Choose an endpoint

Mode Example
Cloud https://api.pinecone.io or your Pinecone API host
Local http://localhost:5081 for a local manager or gateway

Step 3 — Open the Studio

Click the Pinecone Studio icon in the Activity Bar, or open the Command Palette and run:

Pinecone Studio: Open Studio

Step 4 — Connect

Enter your endpoint and API key when required, then click Connect.


Connection Modes

Cloud

Use Pinecone Cloud with an API endpoint and key. The workbench is built for live exploration of indexes, namespaces, vectors, and query responses.

https://api.pinecone.io

Local

Use a local Pinecone-compatible manager, gateway, or development proxy.

http://localhost:5081

This is useful for testing local workflows before connecting to production cloud resources.


Workbench Tabs

Tab Use it for
Dashboard Connection status, selected index, and summary metrics
Indexes Browse, create, and inspect Pinecone indexes
Vectors Fetch, upsert, and inspect vectors in namespaces
Query Run similarity queries and review results
Settings / Raw Debug custom endpoint calls and manager APIs

Works With VS Code-Compatible Editors

Editor Platform Notes
VS Code Desktop · Web Primary supported editor
Cursor Desktop VS Code-compatible AI editor
Windsurf Desktop VS Code-compatible AI editor
VSCodium Desktop Open-source VS Code build
Gitpod Cloud Browser-based development environments
GitHub Codespaces Cloud GitHub cloud IDE
Eclipse Theia Cloud · Desktop Open-source VS Code API-compatible IDE

Requirements

  • VS Code ^1.85.0 or a compatible editor
  • Pinecone Cloud access or a local Pinecone-compatible manager endpoint
  • API key for secured cloud or private deployments

Support & Feedback

Website Visit the public product page
Marketplace VS Code Marketplace
Privacy Policy View policy

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