🤗 Hugging Face Data ➡️ Vectroid in minutes! 🤗

Getting started with vector search usually means finding datasets, downloading massive files, and building complex import pipelines. Vectroid eliminates all of that with one-click imports from Hugging Face.

How It Works

1. Choose your dataset - Search Hugging Face or pick from our recommendations
2. Configure import - Name your dataset, Vectroid auto-detects the structure
3. Import - Click "Create and Import" and Vectroid handles everything

We imported 1 million Amazon product reviews in 36 seconds.

Create an Index

Create a searchable index from your dataset:

• Enable full-text search on text fields
• Choose which fields to filter on
• Select your similarity model

You can build multiple indexes from the same dataset for different use cases.

Query Your Data

Build queries visually in the UI:

• Use the query builder to specify what you're looking for
• Add filters to narrow down results
• Test and refine instantly
• Use "Copy Query JSON" to get the exact query structure for your application

Why Vectroid?

Fast - Import 1M records in under 1 minute

Simple - No pipelines or infrastructure setup

Flexible - Multiple indexes per dataset, full-text + vector search

Scalable - Handle datasets of any size

Get Started

1. Create your account at prod.vectroid.com/console
2. Import your first dataset from Hugging Face
3. Start building your vector search application

100GB free to get you started.