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\n\n\"Weaviate\n\n# Weaviate DB\n\n### The AI-Native Vector Database Workbench for VS Code\n\n**Inspect schemas · Query objects · Import data · Run GraphQL — without leaving your editor.**\n\n
\n\n\n[![npm downloads](https://img.shields.io/npm/dm/weaviate-db-extension?label=Downloads&color=cb3837&logo=npm&logoColor=white)](https://www.npmjs.com/package/weaviate-db-extension)\n[![License: MIT](https://img.shields.io/badge/License-MIT-22c55e)](https://harishkaparwan.github.io/weaviate-ui/LICENSE)\n\n
\n\n---\n\n## Overview\n\n**Weaviate DB** is a zero-config GUI workbench for [Weaviate](https://weaviate.io) — the leading AI-native vector database. Connect to any local or cloud Weaviate instance in seconds and get a full-featured panel for schema exploration, object browsing, data imports, and GraphQL querying — all inside your editor.\n\n\"fast-forward\" No browser tabs. No separate apps. Just your editor.\n---\n\n## Demo\n\n### 💻 Local Instance\n\n
\n\"Weaviate\n\n
\n\n### 🎬 Watch the Intro Video\n\n[![Watch on YouTube](https://img.shields.io/badge/YouTube-Watch%20Intro-FF0000?style=for-the-badge&logo=youtube&logoColor=white)](https://www.youtube.com/watch?v=Bg5n5MDFWEY)\n\n
\n\n---\n\n## Features\n\n| | Capability | Description |\n|---|---|---|\n| 🔌 | **Universal Connect** | Local Docker, Weaviate Cloud, or any custom endpoint — no config files needed |\n| 🗂️ | **Schema Browser** | Explore all classes, properties, vectorizers, and index settings at a glance |\n| 📦 | **Object Viewer** | Browse, paginate, and inspect objects in any class with configurable limits |\n| ➕ | **Batch Import** | Push data inserts from JSON or CSV directly into your Weaviate instance |\n| 🔍 | **GraphQL Console** | Write and execute queries against `/v1/graphql` with live results |\n| 🔑 | **Secure Cluster Auth** | API key authentication via `Authorization: Bearer` + `X-Weaviate-Api-Key` |\n| ⚡ | **Zero Config** | No setup files, no tokens, no extra configuration — install and connect |\n| 🌐 | **Editor Agnostic** | VS Code, VSCodium, Cursor, Windsurf, Gitpod, GitHub Codespaces, Eclipse Theia — any VS Code-compatible editor |\n\n---\n\n## Quick Start\n\n**Step 1 — Install**\n\nSearch `Weaviate DB` in the Extensions panel (`Ctrl+Shift+X`) or run:\n\n```bash\next install harishkaparwan.weaviate-db\n```\n\n**Step 2 — Start Weaviate** *(skip if already running)*\n\n```bash\ndocker run --rm -p 8083:8080 -p 50051:50051 \\\n docker.io/semitechnologies/weaviate:1.37.4\n```\n\n**Step 3 — Open the Workbench**\n\nClick the **Weaviate DB icon** in the Activity Bar, or open the Command Palette and run:\n\n```\nWeaviate DB: Open Workbench\n```\n\n**Step 4 — Connect**\n\n| Mode | What to enter |\n|---|---|\n| **Local** | `http://localhost:8083` → click **Connect** |\n| **Cluster** | Your REST endpoint + API key → click **Connect** |\n\nYour schema, objects, and query interface load instantly. ✅\n\n---\n\n## Connection Modes\n\n### 🖥️ Local Mode\n\nConnect to any Weaviate instance running on your machine or local network. No authentication headers are added.\n\n```\nhttp://localhost:8083\n```\n\n> Works with Docker, local binaries, or a proxy like `http://localhost:8787`.\n\n### ☁️ Cluster Mode (Weaviate Cloud)\n\nEnter your cluster REST host and API key. Authentication is handled automatically.\n\n```\nhttps://.c0..gcp.weaviate.cloud\n```\n\n> **Tip:** Use the REST endpoint — not the Weaviate Cloud Console URL.\n\n---\n\n### 🧠 Pre-vectorized Data — Bring Your Own Vectors\n\nThese files already contain embedding vectors. Use them when you want full control over the embedding model or are migrating from another system.\n\n| Dataset | Format | Vectors | Index type | Link |\n|---|---|---|---|---|\n| **Jeopardy (Quickstart)** | JSON | OpenAI `ada-002` (1536-d) | HNSW | [📂 Browse files](https://github.com/weaviate-tutorials/quickstart/tree/main/data) · [⬇ Direct JSON](https://raw.githubusercontent.com/weaviate-tutorials/quickstart/main/data/jeopardy_tiny_with_vectors_all-OpenAI-ada-002.json) |\n| **Sphere / Wikipedia (DPR)** | JSON | DPR bi-encoder (768-d), large-scale | HNSW | [📂 Repo](https://github.com/weaviate/semantic-search-through-wikipedia-with-weaviate) |\n| **Wikipedia Semantic Search** | JSON | Pre-computed dense vectors | HNSW | [📂 Repo](https://github.com/weaviate/semantic-search-through-wikipedia-with-weaviate) |\n\n**How to import a pre-vectorized file:**\n1. Open the **Insert** tab → set Mode to **Batch objects**\n2. Paste the direct JSON URL into **Import from URL** and click **Import URL**, *or* click **Import file** and select the downloaded file\n3. Click **Insert** — vectors are stored as-is, no re-embedding happens\n\n---\n\n### ⚙️ Non-vectorized Data — Vectorized at Import Time\n\nThese files contain only raw text / structured fields. Weaviate (or an external module) generates the vectors during import based on your class vectorizer configuration.\n\n| Dataset | Format | Suggested vectorizer | Index type | Link |\n|---|---|---|---|---|\n| **Movies 1990–2024** | JSON | `text2vec-weaviate` (Weaviate Embeddings) | HNSW | [⬇ Direct JSON](https://raw.githubusercontent.com/weaviate-tutorials/edu-datasets/main/movies_data_1990_2024.json) |\n| **eCommerce Products** | CSV | `text2vec-cohere` | HNSW / Flat | [📂 Repo](https://github.com/weaviate-tutorials/nuxt-ecommerce-rag/blob/main/public/products.csv) · [⬇ Direct CSV](https://raw.githubusercontent.com/weaviate-tutorials/nuxt-ecommerce-rag/main/public/products.csv) |\n| **Recipes / Food** | JSON | `text2vec-openai` | HNSW | [📂 Repo](https://github.com/inngest/weaviate-agentic-workflow) |\n| **Multimodal Media (images/video)** | Files | `multi2vec-google` (Vertex AI) | HNSW | [📂 Repo](https://github.com/malgamves/next-multimodal-search-demo/tree/main/public) |\n\n**How to import a non-vectorized file:**\n1. Open the **Insert** tab → set Mode to **Batch objects**\n2. Make sure your Weaviate class has a vectorizer configured (e.g. `text2vec-openai`)\n3. Paste a direct URL or import the file — Weaviate calls the vectorizer module automatically at insert time\n\n---\n\n### 📐 Index Type Reference\n\n| Index | Best for | Notes |\n|---|---|---|\n| **HNSW** | Large datasets, fast ANN search | Default; persisted on disk, highly tunable |\n| **Flat** | Small datasets (< ~10 k objects) | Exact k-NN, no index build cost |\n| **Dynamic** | Unknown or growing collections | Starts as Flat, auto-upgrades to HNSW at threshold |\n\n> You can inspect and change a class's vector index type from the **Index** tab in Weaviate DB after connecting.\n\n---\n---\n\n---\n\n
\n\n## 📦 NPM Package\n\n
\n\n**Run Weaviate UI directly from NPM without any installation!**\n\n[![npm](https://img.shields.io/npm/v/weaviate-db-extension?style=for-the-badge&logo=npm&logoColor=white)](https://www.npmjs.com/package/weaviate-db-extension)\n[![npm downloads](https://img.shields.io/npm/dt/weaviate-db-extension?style=for-the-badge&logo=npm&logoColor=white)](https://www.npmjs.com/package/weaviate-db-extension)\n\n
\n\n### 🚀 Quick Start\n\n
\n\n```bash\n# Install globally\nnpm install -g weaviate-db-extension\n\n# Run directly with npx\nnpx weaviate-db-extension\n```\n\n
\n\n
\n\n> **💡 Pro Tip**: Use `npx` to try it instantly without installation!\n\n
\n\n🔗 **Package**: [weaviate-db-extension](https://www.npmjs.com/package/weaviate-db-extension)\n\n
\n\n---\n\n---\n\n## Available On Every Platform\n\n| Platform | Install |\n|---|---|\n| 🧩 **VS Code Extension** | [VS Code Marketplace](https://marketplace.visualstudio.com/items?itemName=harishkaparwan.weaviate-db) · [Open VSX](https://open-vsx.org/extension/harishkaparwan/weaviate-db) |\n| 🌐 **Chrome Extension** | [Chrome Web Store](https://chromewebstore.google.com/detail/naooobcljglmgfefiblbgkdlcomgamhc?utm_source=item-share-cb) |\n| 🖥️ **Desktop Apps** | [Download All Platforms](https://harishkaparwan.github.io/downloads.html) · [Windows EXE](https://harishkaparwan.github.io/weaviate-ui/desktop/2.0.0/win/weaviate-ui_2.0.0_x64-setup.exe) · [macOS DMG](https://harishkaparwan.github.io/weaviate-ui/desktop/2.0.0/mac/weaviate-ui_2.0.0_aarch64.dmg) |\n| 📦 **NPM Package** | `npm install weaviate-db-extension` · `npx weaviate-db-extension` |\n| 🐳 **Docker / Podman** | `docker pull harishkaparwan/weaviate-ui:latest` |\n\n#### Homebrew (v2.0.0)\n\n```bash\nbrew tap harishkaparwan/tap\nbrew install --cask weaviate-ui\n```\n\n**Latest Version**: 2.0.0 (includes Windows desktop support)\n**Platforms**: macOS Apple Silicon, Windows EXE/MSI, Web, NPM\n**Features**: Cross-platform desktop apps with native installers\n\n#### Docker\n\n```bash\ndocker run --rm -p 8080:80 harishkaparwan/weaviate-ui:latest\n```\n\n---\n\n## Works With Every VS Code-Compatible Editor\n\n| Editor | Platform | Notes |\n|---|---|---|\n| 🟦 **[VS Code](https://code.visualstudio.com)** | Desktop · Web | Primary supported editor |\n| 🟩 **[Cursor](https://www.cursor.com)** | Desktop | AI-first editor, fully compatible |\n| 🌊 **[Windsurf](https://codeium.com/windsurf)** | Desktop | Codeium AI editor, fully compatible |\n| ⬜ **[VSCodium](https://vscodium.com)** | Desktop | Open-source VS Code build |\n| 🟧 **[Gitpod](https://www.gitpod.io)** | Cloud | Browser-based dev environments |\n| 🐙 **[GitHub Codespaces](https://github.com/features/codespaces)** | Cloud | GitHub's cloud IDE |\n| 🔵 **[Eclipse Theia](https://theia-ide.org)** | Cloud · Desktop | Open-source cloud & desktop IDE |\n\n> Any editor that supports the VS Code Extension API can run **Weaviate DB** out of the box.\n\n---\n\n## Requirements\n\n- VS Code `^1.85.0` or any compatible editor\n- A running [Weaviate](https://weaviate.io) instance (local or cloud)\n- No additional dependencies or configuration files needed\n\n---\n\n## Support & Feedback\n\n| | |\n|---|---|\n| 🐛 **Support Site** | [Visit the public product page](https://harishkaparwan.github.io/weaviate-ui/) |\n| 💡 **Feature Requests** | [Use the public product page](https://harishkaparwan.github.io/weaviate-ui/) |\n| 🔒 **Privacy Policy** | [View policy](https://harishkaparwan.github.io/weaviate-ui/policy/privacy.html) |\n\n---\n\n
\n\n**[Visit Website](https://harishkaparwan.github.io/weaviate-ui/)** · **[Privacy Policy](https://harishkaparwan.github.io/weaviate-ui/policy/privacy.html)**\n\n
\nBuilt with ❤️ for the Weaviate & AI developer community\n\n
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