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A desktop application for exploring and managing Pinecone vector databases. Built with Electron and React.

Features

• Multi-Profile Connections - Connect to Pinecone indexes with saved profiles
• Index Management - Create, configure, and delete indexes with custom settings
• Record Operations - Browse, search, create, edit, and delete records with batch support
• Dense, Sparse & Hybrid Indexes - Full support for dense, sparse, and hybrid index types
• Semantic Search - Query records using natural language with 13+ embedding providers
• Reranking - Rerank search results for improved relevance
• Metadata Filtering - Filter records with flexible query syntax
• Resizable Layout - Adjustable multi-panel interface with sidebar, table, and detail views

Supported Embedding Providers

• Pinecone Inference - Llama Text Embed v2, Multilingual E5 Large, Sparse English v0
• OpenAI - text-embedding-3-small, text-embedding-3-large

Tech Stack

• Desktop: Electron
• Frontend: React, TypeScript, Tailwind CSS
• Data: TanStack Query, TanStack Table
• UI: Radix UI components, Lucide icons
• Database: Pinecone SDK

Project Structure

├── electron/ # Main process (IPC handlers, Pinecone service, window management)
├── src/
│ ├── windows/ # Window components (Setup, Connection, Settings)
│ ├── components/ # UI components (indexes, records, modals)
│ ├── context/ # React contexts (Pinecone, Indexes, Records)
│ ├── hooks/ # Custom hooks
│ └── providers/ # Context providers

Development

# Install dependencies
pnpm install
# Start development server
pnpm dev
# Build for production
pnpm build

Configuration

API keys for embedding providers can be configured in Settings (Cmd+,). Keys are stored securely in the system keychain.

License

MIT