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JSON Vector Search Package Released

·2026.05.01 02:01

Key point

A 3-bit vector search package that runs in browsers and Node.js has been released.

Details

turboquant-search has been released. It takes a JSON array as input, embeds text fields, compresses vectors to 3-bit, and searches using WASM SIMD.

  • Runs in browsers or Node.js without a server, vector DB, or API key.
  • For 10,000 items, the index size is about 1.4MB and search time is about 5ms.
  • For 100,000 items, search time is stated to be under 30ms.
  • External embedders like transformers.js and Gemini can be attached, and a default keyword embedder is also provided.
vector-searchembeddingsquantizationturboquant-searchjson
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