ai-embed-search

Smart. Simple. Local. AI-powered semantic search in TypeScript using transformer embeddings. No cloud, no API keys — 100% offline.

v2.0.3 URL: https://unpkg.com/ai-embed-search@2.0.3/dist/index.js

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ai search semantic semantic-search vector vector-search embeddings text-embeddings transformers cosine-similarity typescript search-engine local-search offline-search in-memory-search npm-package open-source

@upstash/search

An HTTP/REST based AI Search client built on top of Upstash REST API.

v0.1.5 URL: https://unpkg.com/@upstash/search@0.1.5/dist/nodejs.js

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search vector upstash db

client-vector-search

A client side vector search library

v0.2.0 URL: https://unpkg.com/client-vector-search@0.2.0/dist/index.js

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vector search embeddings nlp models

qdrant-page-search

Add markup for the search modal popup:

v1.1.3 URL: https://unpkg.com/qdrant-page-search@1.1.3/dist/js/search.min.js

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qdrant search page search documentation vector search

columnist-db

Lightning-fast, semantic-ready client-side database with IndexedDB persistence, full-text search, vector search, and React hooks

v1.1.0 URL: https://unpkg.com/columnist-db@1.1.0/dist/lib/index.js

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database indexeddb client-side typescript react search vector embedding offline-first