
ai-embed-search
Local semantic search engine with transformer embeddings.
What it does
Smart. Simple. Local. AI-powered semantic search in TypeScript using transformer embeddings. No cloud, no API keys — 100% offline.. Latest version: 1.5.1, last published: a day ago. Start using ai-embed-search in your project - `npm i ai-embed-search`.
Does a similar job
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Hi there! When Supabase announced their recent hackathon, I thought it was a good time to build something to learn more about so many of the new AI models and tech out there. From the different techniques of embedding documents to the future RAG. With the rise of short form content with TikTok and Youtube. A lot more knowledge is in videos than ever before. Finding specific answers within millions of videos can be difficult for any one person to go through. So the question is if there is Google that indexes text on website making it easier to find based on the context of on your question,…
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Hi folks! I created a frontend-only live semantic search engine based on transformers.js and sentence-transformers/all-MiniLM-L6-v2. Simply pour in your text and a query term. Hit enter and watch the search engine in action! It's highly customizable and stores the embeddings in a variable so that consecutive runs are very fast. You can tweak the segment length to reduce computation time or get get more precise results. I would be very happy to discuss some more usage ideas or receive PRs for improvements. Introduction blog post:…

- CVClient Vector Search – Embeddings and Semantic Search with 5 Lines2023 · clientvectorsearch.com · ▲11
Hey HN, we're excited to show you client-vector-search, a client-side library that helps you embed, store, search, and cache vectors in your browser or node env. We needed it at https://searchbase.app and that's why we've built it. with it you get: 1. easy setup: you only need to add 5 lines of code to build a semantic search 2. no embedding api needed: you don't need an api and have to pay for it unless ure scaling up millions 3. faster search: modern hardware is better than cheap cloud computers (0.5vCPUs) 4. zero latency: no back-and-forth with server-side 5. easy integration…
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