Most document AI tools ask you to do something uncomfortable: upload your contracts, invoices and...Most document AI tools ask you to do something uncomfortable: upload your contracts, invoices and...
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YASH GOYAL
• Jul 31
Most document AI tools ask you to do something uncomfortable: upload your contracts, invoices and internal docs to someone else's servers.
I built VaultRAG so you don't have to.
It is a document Q&A platform. Upload a PDF, ask questions in plain English, and get answers grounded in the actual document instead of a confident guess.
The difference is where it runs. VaultRAG lives entirely on Cloudflare's edge. No OpenAI, no Anthropic, no third-party AI provider anywhere in the path. Ingestion, embeddings, vector search and inference all happen inside the same network your data already sits in. Your documents are never shipped somewhere you cannot see.
Under the hood: • Full RAG pipeline: PDF ingestion, sentence-aware chunking, vector search, Llama 3.1 inference • Around 25 chunks processed per document in under 60 seconds • Sub-second responses on cached queries • Multi-tenant by design, so every workspace stays isolated • Built on Cloudflare Workers AI, Vectorize, R2 and D1
Privacy shouldn't be a premium feature. It should be the architecture.
AI AutomationCloud InfrastructureFull Stack DevelopmentCloudflare WorkersFlaskTypeScript
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