Replaces server-side vector search with a local-first implementation using OpenAI embeddings and cosine similarity directly in the browser. It stores document vectors in IndexedDB to enable semantic search without backend infrastructure.
Tech Stack
TypeScriptDatabase & Storage
Why vector-storage?
• Zero server maintenance
• Maximum user data privacy
• Simple TypeScript API
Limitations
• Limited by browser storage quotas
• Client-side CPU usage for search
• Requires client-side API keys for embeddings
2/2/2026
Last Update
39
Forks
9
Issues
MIT
License
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