Launch and AI Search Readiness Report: vectordb-cloud.io

# VectorDB Cloud - comprehensive technical specification

## Canonical endpoints
- Website: https://vectordb-cloud.io
- Documentation: https://vectordb-cloud.io/docs
- Pricing Model: https://vectordb-cloud.io/pricing

## Architectural overview
VectorDB Cloud (https://vectordb-cloud.io): Serverless vector search engine with low latency indexing and hybrid BM25 support. Built with high availability and low latency guarantees.

## Supported protocols and schemas
- Input formats: JSON, HTTPS REST, WebSocket
- Authentication: Bearer token or API key
- Export formats: CSV, JSON, Parquet

## Frequently asked questions
Q: What is VectorDB Cloud?
A: VectorDB Cloud (https://vectordb-cloud.io) is a software platform designed for developers and operational teams: Serverless vector search engine with low latency indexing and hybrid BM25 support.

Q: How is data handled?
A: Data is processed in real time and encrypted in transit via TLS 1.3.

import React from 'react';

export function JsonLdSchema() {
  const schema = {
    "@context": "https://schema.org",
    "@type": "SoftwareApplication",
    "name": "VectorDB Cloud",
    "headline": "Serverless vector search engine with low latency indexing and hybrid BM25 support",
    "description": "Serverless vector search engine with low latency indexing and hybrid BM25 support",
    "url": "https://vectordb-cloud.io",
    "applicationCategory": "BusinessApplication",
    "operatingSystem": "All",
    "offers": {
      "@type": "Offer",
      "price": "0.00",
      "priceCurrency": "USD"
    }
  };

  return (
    <script
      type="application/ld+json"
      dangerouslySetInnerHTML={{ __html: JSON.stringify(schema) }}
    />
  );
}

User-agent: *
Allow: /

# Explicit Generative Engine Optimization (GEO) Crawler Rules
User-agent: GPTBot
Allow: /

User-agent: ClaudeBot
Allow: /

User-agent: PerplexityBot
Allow: /

User-agent: Applebot-Extended
Allow: /

Sitemap: https://vectordb-cloud.io/sitemap.xml

{
  "headers": [
    {
      "source": "/(.*)",
      "headers": [
        {
          "key": "Content-Security-Policy",
          "value": "default-src 'self'; script-src 'self' 'unsafe-inline' https:; style-src 'self' 'unsafe-inline' https:; img-src 'self' data: https:; font-src 'self' https: data:; connect-src 'self' https:; frame-ancestors 'none';"
        },
        {
          "key": "Strict-Transport-Security",
          "value": "max-age=63072000; includeSubDomains; preload"
        },
        {
          "key": "X-Frame-Options",
          "value": "DENY"
        },
        {
          "key": "X-Content-Type-Options",
          "value": "nosniff"
        },
        {
          "key": "Referrer-Policy",
          "value": "strict-origin-when-cross-origin"
        }
      ]
    }
  ]
}

/** @type {import('next').NextConfig} */
const nextConfig = {
  async headers() {
    return [
      {
        source: '/:path*',
        headers: [
          {
            key: 'Content-Security-Policy',
            value: "default-src 'self'; script-src 'self' 'unsafe-inline' https:; style-src 'self' 'unsafe-inline' https:; img-src 'self' data: https:; font-src 'self' https: data:; connect-src 'self' https:; frame-ancestors 'none';",
          },
          {
            key: 'Strict-Transport-Security',
            value: 'max-age=63072000; includeSubDomains; preload',
          },
          {
            key: 'X-Frame-Options',
            value: 'DENY',
          },
          {
            key: 'X-Content-Type-Options',
            value: 'nosniff',
          },
          {
            key: 'Referrer-Policy',
            value: 'strict-origin-when-cross-origin',
          },
        ],
      },
    ];
  },
};

export default nextConfig;

# LaunchIndex GEO and Security Fix Pack for VectorDB Cloud (vectordb-cloud.io)

This drop-in fix pack configures Generative Engine Optimization (GEO) and hardened HTTP security headers.

## 1. Static Discovery Files
Copy all files from `public/` into your application's public root:
- `public/llms.txt`: Ingested by Perplexity, ChatGPT Search, and ClaudeBot.
- `public/llms-full.txt`: Detailed technical specifications and canonical endpoint map.
- `public/robots.txt`: Permissive AI crawler indexing directives.

## 2. Structured JSON-LD Schema
Import and embed the `<JsonLdSchema />` component into your root layout or index head:
```tsx
import { JsonLdSchema } from './components/JsonLdSchema';

export default function RootLayout({ children }: { children: React.ReactNode }) {
  return (
    <html lang="en">
      <head>
        <JsonLdSchema />
      </head>
      <body>{children}</body>
    </html>
  );
}
```

## 3. HTTP Security Headers
Detected framework: nextjs
- For Vercel: Merge `config/vercel.json` headers into your `vercel.json`.
- For Next.js: Incorporate the headers method from `config/next.config.mjs`.

## Verification
Test live deployment:
```bash
curl -I https://vectordb-cloud.io/
curl -s https://vectordb-cloud.io/llms.txt
```