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Migrating Your Data to Redis Cloud on AWS If you act like a leader in good times, it pays off when things get tight. Download Now Adopting an IT Leadership Mindset in Tough Times If you act like a leader in good times, it pays off when things get tight. Download Now 3 Design Patterns to Speed MEAN and MERN Stack Applications Using Redis Enterprise to speed up Node.js applications written for the M
I’ve been using Redis for about six years now, and over the years I’ve exploited its few data types to do some pretty versatile things such as geographical queries, text search, machine learning and more. But over the years, I can’t even count the number of times I’ve found myself (as did many other users) wishing that Redis would have this or other data structure, command or capability it is lack
# 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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