Vectorize MCP Worker

Production-grade RAG on Cloudflare Workers. ~$5/month. No servers. No Pinecone bill.

Hybrid search, knowledge reflection, multimodal ingestion, metadata filtering, multi-tenancy, rate limiting, and a native MCP server — all in one deployable Worker.

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Why This Exists

Andrej Karpathy made a compelling argument recently: LLMs are becoming the new Wikipedia. Ask the model, get the answer. For general knowledge questions, he's right — if you're asking "what is gradient descent," you don't need a retrieval pipeline.

But that framing has a blind spot:

Your data isn't in any LLM's training set. It never will be.

Your internal docs, customer contracts, support tickets, financial reports, product changelog — none of it lives in any model. The moment you need answers grounded in your specific knowledge base, you need retrieval. The moment you need results that are cited, up-to-date, and not hallucinated, you need RAG.