Cloudflare Vectorize
Vectorizes Cloudflare website content into embeddings for semantic search and analysis using jezweb's optimized process.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add cloudflare-vectorize npx -- -y @trustedskills/cloudflare-vectorize
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"cloudflare-vectorize": {
"command": "npx",
"args": [
"-y",
"@trustedskills/cloudflare-vectorize"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The Cloudflare Vectorize skill enables AI agents to interact with Cloudflare's Vectorize API, allowing them to perform vector similarity searches and manage embeddings. This is particularly useful for tasks like semantic search, recommendation systems, or content retrieval based on contextual meaning rather than exact keywords.
When to use it
- To build a search feature that understands intent and context, such as finding similar articles or products.
- For creating personalized recommendations by comparing user input with precomputed embeddings.
- When integrating AI-powered search capabilities into web applications hosted on Cloudflare.
Key capabilities
- Integration with Cloudflare Vectorize API
- Support for vector similarity searches
- Management of embeddings and datasets
- Real-time query processing for semantic relevance
Example prompts
- "Find the three most similar articles to this one based on their content."
- "Recommend products that are semantically related to 'wireless headphones'."
- "Search for documents containing concepts similar to 'climate change'."
Tips & gotchas
- Ensure you have a Cloudflare account and API access set up before using this skill.
- Be mindful of rate limits and costs associated with embedding generation and querying the Vectorize API.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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Passed automated security scans.