Wiki Vault

Wiki Vault

Hybrid semantic + keyword search over Wikipedia

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Hybrid vector + keyword search across 4M Wikipedia articles. Built in 4 months by a self-taught dev on recycled crypto mining hardware. 128ms queries, 104GB VRAM across 4 GPUs. Part 2 of 5 launches this week.
Wiki Vault gallery image
Wiki Vault gallery image
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Launch tags:Education•Artificial Intelligence•Tech
Launch Team
Intercom
Intercom
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Nathan
Maker
📌
Hey Product Hunt! 👋 The Journey: 4 months ago, I couldn't run a terminal command. Today I'm launching my second vector search API. The Stack: 1x RTX 5090 + 3x RTX 3090s (104GB VRAM) Dell R740XD with 315GB RAM (found free) Recycled crypto mining infrastructure Total build cost: ~$5k The Results: 4 million Wikipedia articles vectorized 128-213ms hybrid search queries Vector + keyword fusion for best results Free public API: https://wiki.built-simple.ai This Week's Launch Schedule: ✅ Monday: Stack Overflow (live at fixit.built-simple.ai) 🔴 4.8M Wikipedia articles ⏳ 2.7M ArXiv papers ⏳ 4.5M PubMed medical articles ⏳ 9.2M legal documents Why? Proving we can vectorize ANY domain at scale. Next step: Custom vectorization for your data. Want early access to turn your knowledge base into searchable vectors? Drop a comment 👇