Exclusive: How LinkedIn used Node.js and HTML5 to build a better, faster app
Exclusive: How LinkedIn used Node.js and HTML5 to build a better, faster app This morning, LinkedIn launched its gorgeously overhauled mobile app. We’ve already told you all about the new features, but for developers, the most exciting part is what’s going on under the hood. The app is two to 10 times faster on the client side than its predecessor, and on the server side, it’s using a fraction of
Redis - The Real-time Data Platform
# Create a vector index using the HNSW algorithm, 768 dimension length, and inner product distance metric > FT.CREATE idx-videos ON HASH PREFIX 1 video: SCHEMA content_vector VECTOR HNSW 6 TYPE FLOAT32 DIM 768 DISTANCE_METRIC IP content TEXT metadata TEXT # Add a video vector with metadata > HSET video:0 content_vector “\xa4q\t=\xc1\xdes\xbdZ$<\xbd\xd5\xc1\x99<b\xf0\xf2<x[…\xf8<” content “SUMMARY:
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Includes: Apache 2.4.58, MariaDB 10.4.32, PHP 8.0.30, phpMyAdmin 5.2.1, OpenSSL 3.1.3, XAMPP Control Panel 3.2.4, Webalizer 2.23-04, Mercury Mail Transport System 4.63, FileZilla FTP Server 0.9.41, Tomcat 8.5.96 (with mod_proxy_ajp as connector), Strawberry Perl 5.32.1.1 Portable Includes: Apache 2.4.58, MariaDB 10.4.32, PHP 8.1.25, phpMyAdmin 5.2.1, OpenSSL 3.1.3, XAMPP Control Panel 3.2.4, Webal
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