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vectordbz

A modern desktop application for exploring, managing, and analyzing vector databases

Description

A modern desktop application for exploring, managing, and analyzing vector databases

README

VectorDBZ Logo

VectorDBZ

Open-source desktop client for vector databases

VectorDBZ Application

Latest Release MIT License Contributions Welcome

VectorDBZ lets you connect to local or cloud vector database instances, explore collections, run vector and hybrid searches, and visualize embeddings in 2D/3D — all from a native desktop app, no infrastructure required.


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
RedisSearch (Redis Stack) v2.0+

Installation

Homebrew (macOS)

brew tap vectordbz/vectordbz
brew install --cask vectordbz

Direct Download

Download the latest release →

Platform Package
Windows .exe installer (Windows 10+)
macOS Intel darwin-x64 zip (macOS 10.15+)
macOS Apple Silicon darwin-arm64 zip (macOS 10.15+)
Linux .deb or .rpm (Ubuntu 18.04+, Fedora 32+)

macOS Note

The app is not code-signed. On first launch, right-click → Open → click Open in the dialog.

If you see "VectorDBZ is damaged", run:

xattr -cr /Applications/VectorDBZ.app

Development

See docs/DEVELOPMENT.md for the full setup guide — prerequisites, running the app locally, seeding test data, and available scripts.

Quick start:

git clone https://github.com/vectordbz/vectordbz.git
cd vectordbz/app
npm ci
npm run start

Contributing

Contributions are welcome — new database integrations, bug fixes, and feature improvements.


Support

Release History

VersionChangesUrgencyDate
v0.0.19## Bug Fixes - **Weaviate: fixed GraphQL error for collections with object-typed properties** — Querying collections that contain an `object` property (e.g. a `payload` field with nested sub-fields) would fail with `Field "X" of type "..." must have a sub selection`. The document list and search views now correctly expand object fields into their nested sub-selections based on the collection schema, while scalar fields continue to work as before.Medium4/1/2026

Dependencies & License Audit

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