AI-Native Vector Database

ZeroDB

The vector database built for AI. Store embeddings, power semantic search, and build intelligent applications at scale.

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Query Latency

99.99%

Uptime SLA

10B+

Vectors Stored

Built for Modern AI Applications

Everything you need to store, search, and manage vector embeddings at any scale.

Vector Storage

Store billions of high-dimensional vectors with automatic indexing and compression for optimal performance.

Semantic Search

Find similar content using meaning, not keywords. Perfect for RAG applications and recommendation systems.

Blazing Fast

Sub-millisecond query latency with intelligent caching and optimized similarity algorithms.

Enterprise Security

SOC 2 compliant with encryption at rest, in transit, and fine-grained access controls.

Developer-First API

RESTful API and TypeScript SDK designed for seamless integration with modern AI applications.

Fully Managed

No infrastructure to manage. Automatic scaling, backups, and 99.99% uptime SLA.

Developer-First SDK

Get started in minutes with our intuitive TypeScript SDK. Store embeddings and query with semantic search in just a few lines of code.

TypeScript-first with full type safety
Auto-batching for bulk operations
Built-in retry and error handling
Streaming support for large responses

SDK Documentation

import { ZeroDB } from '@ainative/zerodb';

const db = new ZeroDB({
  apiKey: process.env.ZERODB_API_KEY,
});

// Store embeddings
await db.vectors.upsert({
  namespace: 'documents',
  vectors: [
    {
      id: 'doc-1',
      values: embedding, // 1536-dim vector
      metadata: { title: 'Getting Started' },
    },
  ],
});

// Semantic search
const results = await db.vectors.query({
  namespace: 'documents',
  vector: queryEmbedding,
  topK: 10,
  includeMetadata: true,
});