https://github.com/vectordbz/vectordbz
A modern desktop application for exploring, managing, and analyzing vector databases
https://github.com/vectordbz/vectordbz
ai aitools chroma database-management embeddings milvus pgvector pinecone qdrant rag semantic-search vector-data-management vector-database vector-database-embedding vector-search vector-store vectordatabase vectordb vectorspace weaviate
Last synced: 4 months ago
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A modern desktop application for exploring, managing, and analyzing vector databases
- Host: GitHub
- URL: https://github.com/vectordbz/vectordbz
- Owner: vectordbz
- Created: 2025-12-06T15:26:35.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2026-01-30T13:44:47.000Z (6 months ago)
- Last Synced: 2026-01-31T06:55:49.660Z (6 months ago)
- Topics: ai, aitools, chroma, database-management, embeddings, milvus, pgvector, pinecone, qdrant, rag, semantic-search, vector-data-management, vector-database, vector-database-embedding, vector-search, vector-store, vectordatabase, vectordb, vectorspace, weaviate
- Language: HTML
- Homepage: http://vectordbz.com/
- Size: 33 MB
- Stars: 154
- Watchers: 2
- Forks: 12
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-vector-database - VectorDBZ
README
VectorDBZ
A modern desktop application for exploring, managing, and analyzing vector databases
---
## Supported Databases
| Database | Minimum Version |
|:--------:|:---------------:|
| **Qdrant** | `v1.7+` |
| **Weaviate** | `v1.19+` |
| **Milvus** | `v2.3+` |
| **ChromaDB** | `v0.4+` |
| **Pinecone** | Latest |
| **pgvector (PostgreSQL)** | `PostgreSQL 11+` with `pgvector` extension |
| **Elasticsearch** | `v8.x` |
---
## Features
- **Multiple Database Support** — Connect to Qdrant, Weaviate, Milvus, ChromaDB, Pinecone, pgvector, and Elasticsearch
- **Data Explorer** — Browse collections, view documents with pagination, and inspect payloads
- **Vector Search** — Find similar vectors with advanced filtering and multi-vector support
- **Search History & Comparison** — Track and compare search results with detailed analytics
- **Embedding Functions** — Generate embeddings from text or files using custom JavaScript functions with pre-built templates for OpenAI, Cohere, Hugging Face, and more
- **Advanced Visualization** — Interactive scatter plots with UMAP, t-SNE, and PCA dimensionality reduction
- **Clustering Analysis** — High-dimensional clustering with K-means and DBSCAN algorithms
- **Collection Management** — View collection info, drop/truncate collections, and delete documents
- **Dark/Light Themes** — Modern UI with multi-tab interface and responsive layout
- **Cross-Platform** — Windows, macOS, and Linux support
---
## Installation
Download the latest version for your platform:
**[Download VectorDBZ →](https://github.com/vectordbz/vectordbz/releases/latest)**
| Platform | Package |
|----------|---------|
| **Windows** | `.exe` installer |
| **macOS** (Intel) | `darwin-x64` package |
| **macOS** (Apple Silicon) | `darwin-arm64` package |
| **Linux** | `.deb` or `.rpm` package |
### macOS Installation Note
The macOS app is not code-signed (requires Apple Developer account). After downloading:
1. Extract the `.zip` file
2. Move `VectorDBZ.app` to your Applications folder
3. **First launch**: Right-click → "Open" → Click "Open" in the dialog
If you see **"VectorDBZ is damaged"** error, open Terminal and run:
```bash
xattr -cr /Applications/VectorDBZ.app
```
Then try opening the app again.
---
## Platform Support
- **Windows** — 10 and later
- **macOS** — 10.15 (Catalina) and later
- **Linux** — Ubuntu 18.04+, Fedora 32+, or equivalent
---
## Support
- **Issues & Questions** — [GitHub Issues](https://github.com/vectordbz/vectordbz/issues)
- **Release Notes** — [Changelog](https://github.com/vectordbz/vectordbz/releases)