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Query");console.log(results);Example of a binary hamming distance query over BigUint64Array (64 bits processed at a time using pure JS):(Insanely Fast) Query Binary Embeddings Using Hamming Distance Over WebAssembly SIMD (+128 bits at a time, shorter CPU cicles)The WebAssembly SIMD implementation processes 128 bits per iteration (via v128.xor) compared to 64 bits per iteration in the JavaScript implementation using BigUint64Array. This alone gives a theoretical 2x speedup.However SIMD instructions execute XOR, popcount, and similar operations on multiple data lanes in parallel. This reduces the number of CPU cycles required for the same amount of work compared to sequential bitwise operations in JavaScript. SIMD in WebAssembly is likely 2x to 4x faster or more over big vectors.Check haming_distance_simd.wat for the WASM source code. Compiled using wat2wasm.const results = await db.queryBinarySIMD( "Find similar texts based on this query");console.log(results);Example of a binary hamming distance query over WebAssembly SIMD (+128 bits at a time, shorter CPU cicles):The logs show offsets (0, 16, 32), which means the code processes 128 bits (16 bytes) at a time. Since the total vector is 384 bits, it takes 3 steps (384 ÷ 128 = 3), confirming 128-bit SIMD processing.For NextjsIf you're using Next.js, you may need to configure Webpack to work with Transformers.js. Add the following to your next.config.js file: { // Override the default webpack configuration config.resolve.alias = { ...config.resolve.alias, "onnxruntime-node$": false, // Disable onnxruntime-node for browser environments "sharp$": false, // optional - Disable sharp package (used by some image processing packages) }; return config; },"> webpack: (config) => { // Override the default webpack configuration config.resolve.alias = { ...config.resolve.alias, "onnxruntime-node$": false, // Disable onnxruntime-node for browser environments "sharp$": false, // optional - Disable sharp package (used by some image processing packages) }; return config; },ContributingFeel free to fork the repository, create issues, and submit pull requests. We welcomeComments
How to Build a Social Network Website Part 29 00:33:19 Pagination Tutorial for PHP MySQL Programmers Web Intersect Paging Database Results 00:16:39 Web Intersect v1 3 HTML Header Fixed Bugs and GNU GPL Welcoming Programmers 00:07:23 Web Intersect Updates Social Network Training Series and Community Website Template System 00:22:08 3 3 Private Message System Tutorial for PHP MySQL Websites Web Intersect 00:20:31 2 3 Private Message System Tutorial for PHP MySQL Websites Web Intersect 00:07:25 1 3 Private Message System Tutorial for PHP MySQL Websites Web Intersect 00:07:28 Twitter Goodies Widget Tutorial for Webmasters PHP MySQL Dynamics Included 00:07:02 Web Intersect Pure CSS Drop Down Menu Site Installation Tutorial W3C Validated 00:09:54 Dynamic Google Maps Location Tutorial For PHP MySQL Driven Websites 00:09:39 1 Web Intersect Forum Tutorial Learn to build simple forums using PHP and MySQL 00:16:10 2 Web Intersect Forum Tutorial Begin Layout and Create MySQL Table for Sections Show More Lessons Comments Our New Certified Courses Will Reach You in Our Telegram Channel Join Our Telegram Channels to Get Best Free Courses Join Now We Appreciate Your Feedback Be the First One Review This Course Excellent 0 Reviews Good 0 Reviews medium 0 Reviews Acceptable 0 Reviews Not Good 0 Reviews 0 0 Reviews Related Courses in Programming 33 Lessons React Projects Workshops 34 Lessons Node js back end JavaScript 15 Lessons Python programming language 4 Lessons Social Network Theme UI With Sass 7 Lessons Full Stack React Django 3 Lessons Build a Node js App With Sequelize 4 Lessons GraphQL With React Apollo 2 Lessons Node js REST API With Restify Mongoose JWT 3 Lessons Full Stack Vue js Express MongoDB 3 Lessons Exploring Docker 7 Lessons Responsive Portfolio Website 12 Lessons The MERN Stack 3 Lessons PHP REST API High level 3 Lessons Up unning With Symfony 4 3 Lessons JavaScript Workshops 3 Lessons PHP MySQL Stripe API Payment App Course Description Facts About MySQL Database. MySQL is the de-facto standard database system for web sites with HUGE volumes of both data and end-users (like Facebook, Twitter . Trends Accounting Finance course Web Design 101 Free Full Course Psychology in graphic design for beginners Web Design for Beginners Create an instagram business page 2020 Financial Accounting Create a YouTube account on Your phone Create a professional website with Wix Graphic design rules for beginners Test graphic design skills for beginners CMA salaries in accounting and
2025-04-05Query");console.log(results);Example of a binary hamming distance query over BigUint64Array (64 bits processed at a time using pure JS):(Insanely Fast) Query Binary Embeddings Using Hamming Distance Over WebAssembly SIMD (+128 bits at a time, shorter CPU cicles)The WebAssembly SIMD implementation processes 128 bits per iteration (via v128.xor) compared to 64 bits per iteration in the JavaScript implementation using BigUint64Array. This alone gives a theoretical 2x speedup.However SIMD instructions execute XOR, popcount, and similar operations on multiple data lanes in parallel. This reduces the number of CPU cycles required for the same amount of work compared to sequential bitwise operations in JavaScript. SIMD in WebAssembly is likely 2x to 4x faster or more over big vectors.Check haming_distance_simd.wat for the WASM source code. Compiled using wat2wasm.const results = await db.queryBinarySIMD( "Find similar texts based on this query");console.log(results);Example of a binary hamming distance query over WebAssembly SIMD (+128 bits at a time, shorter CPU cicles):The logs show offsets (0, 16, 32), which means the code processes 128 bits (16 bytes) at a time. Since the total vector is 384 bits, it takes 3 steps (384 ÷ 128 = 3), confirming 128-bit SIMD processing.For NextjsIf you're using Next.js, you may need to configure Webpack to work with Transformers.js. Add the following to your next.config.js file: { // Override the default webpack configuration config.resolve.alias = { ...config.resolve.alias, "onnxruntime-node$": false, // Disable onnxruntime-node for browser environments "sharp$": false, // optional - Disable sharp package (used by some image processing packages) }; return config; },"> webpack: (config) => { // Override the default webpack configuration config.resolve.alias = { ...config.resolve.alias, "onnxruntime-node$": false, // Disable onnxruntime-node for browser environments "sharp$": false, // optional - Disable sharp package (used by some image processing packages) }; return config; },ContributingFeel free to fork the repository, create issues, and submit pull requests. We welcome
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