Call AI models directly using AI functions in Azure HorizonDB. AI Model Management auto-registers GPT, embedding, and re-ranking models. Try it now. https://youtu.be/EzEPFMJuvrk Run enterprise PostgreSQL workloads on Azure HorizonDB with 3x the throughput of self-managed deployments — zone-resilient by default, no architectural trade-offs. Call AI models directly from SQL, build durable vector pipelines inside the database, and deliver high-accuracy similarity search at massive scale with DiskAN
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TikTokmsftmechanics
Call AI models directly using AI functions in Azure HorizonDB. AI Model Management auto-registers GPT, embedding, and re-ranking models. Try it now. https://youtu.be/EzEPFMJuvrk
Microsoft Mechanics(@msftmechanics). original sound - Microsoft Mechanics. Call AI models directly using AI functions in Azure HorizonDB. AI Model Management auto-registers GPT, embedding, and re-ranking models. Try it now. https://youtu.be/EzEPFMJuvrk Run enterprise PostgreSQL workloads on Azure HorizonDB with 3x the throughput of self-managed ...
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Crea tu base de datos PostgreSQL en segundos con Supabase
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#backend webhook идемпотентность, PostgreSQL #обучение #трудоустройство #стажировка
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Один % убил мой индекс — поиск завис на 8 секунд 🔥 LIKE '%foo%' — это ловушка: процент в начале выключает индекс. На миллионе строк — 5 мс против 8 сек. #sql #postgres #postgresql #backend #python #django #программирование #разработка #databases #performance #sqlacademy
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Think your database is bloated? You’re not alone. One team recently discovered that over half of their 5TB database migration—a massive 2.7TB—was nothing more than dead tuples and digital junk. By cleaning out that bloat before moving, they cut their workload in half and saved serious time. Umair Shahid dives into why PostgreSQL performance issues often hide in plain sight and how cleaning up your infrastructure can save more than just storage space. Stop paying for data you don't need. #Postgre
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Think your database is bloated? You’re not alone. One team recently discovered that over half of their 5TB database migration—a massive 2.7TB—was nothing more than dead tuples and digital junk. By cleaning out that bloat before moving, they cut their workload in half and saved serious time. Umair Shahid dives into why PostgreSQL performance issues often hide in plain sight and how cleaning up your infrastructure can save more than just storage space. Stop paying for data you don't need. #Postgre
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