Tag: vector search
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Cloud Blog: 229 things we announced at Google Cloud Next 25 – a recap
Source URL: https://cloud.google.com/blog/topics/google-cloud-next/google-cloud-next-2025-wrap-up/ Source: Cloud Blog Title: 229 things we announced at Google Cloud Next 25 – a recap Feedly Summary: Google Cloud Next 25 took place this week and we’re all still buzzing! It was a jam-packed week in Las Vegas complete with interactive experiences, including more than 10 keynotes and spotlights, 700 sessions,…
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Cloud Blog: AlloyDB AI drives innovation for application developers
Source URL: https://cloud.google.com/blog/products/databases/alloydb-ai-drives-innovation-from-the-database/ Source: Cloud Blog Title: AlloyDB AI drives innovation for application developers Feedly Summary: The transformative power of AI and intelligent agents is driving profound changes, where software can understand natural language questions and commands — and even autonomously act on our behalf. At the heart of this revolution is the “AI-ready” enterprise…
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Cloud Blog: What’s new with BigQuery — the autonomous data-to-AI platform
Source URL: https://cloud.google.com/blog/products/data-analytics/bigquery-emerges-as-autonomous-data-to-ai-platform/ Source: Cloud Blog Title: What’s new with BigQuery — the autonomous data-to-AI platform Feedly Summary: Data is the fuel for AI, and organizations are racing to leverage enterprise data to build AI agents, intelligent search, and AI-powered analytics for productivity, deeper insights, and a competitive edge. To power their data clouds, tens…
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Cloud Blog: Introducing Firebase Studio and agentic developer tools to build with Gemini
Source URL: https://cloud.google.com/blog/products/application-development/firebase-studio-lets-you-build-full-stack-ai-apps-with-gemini/ Source: Cloud Blog Title: Introducing Firebase Studio and agentic developer tools to build with Gemini Feedly Summary: Millions of developers use Firebase to engage their users, powering over 70 billion instances of apps every day, everywhere — from mobile devices and web browsers, to embedded platforms and agentic experiences. But full-stack development…
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Cloud Blog: Google Cloud databases supercharge the AI developer experience
Source URL: https://cloud.google.com/blog/products/databases/whats-new-for-google-cloud-databases-at-next25/ Source: Cloud Blog Title: Google Cloud databases supercharge the AI developer experience Feedly Summary: Generative AI continues to capture our imagination and promises to transform every industry. Its transformative potential hinges on integrating powerful models like Gemini, with the most contextually-relevant enterprise data. Google Cloud is leading this transformation, not only by…
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Cloud Blog: Build richer gen AI experiences using model endpoint management
Source URL: https://cloud.google.com/blog/products/databases/use-model-endpoint-management-on-alloydb/ Source: Cloud Blog Title: Build richer gen AI experiences using model endpoint management Feedly Summary: Model endpoint management is available on AlloyDB, AlloyDB Omni and Cloud SQL for PostgreSQL. Model endpoint management helps developers to build new experiences using SQL and provides a flexible interface to call gen AI models running anywhere…
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Cloud Blog: Vector similarity search for Cloud SQL for MySQL is now GA
Source URL: https://cloud.google.com/blog/products/databases/cloud-sql-for-mysql-vector-storage-and-similarity-search-is-ga/ Source: Cloud Blog Title: Vector similarity search for Cloud SQL for MySQL is now GA Feedly Summary: If you used the internet today, you’ve probably already benefited from generative AI. Whether it helped you get your work done faster, research home repairs, or find the perfect gift, gen AI is transforming how…
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Hacker News: Sharding Pgvector
Source URL: https://pgdog.dev/blog/sharding-pgvector Source: Hacker News Title: Sharding Pgvector Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the implementation of a sharding strategy for handling vector indices in the pgvector database, focusing specifically on large-scale embeddings. It highlights the challenges of scaling vector searches and presents an approach using two indexing…
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Hacker News: Sharding Pgvector
Source URL: https://pgdog.dev/blog/sharding-pgvector Source: Hacker News Title: Sharding Pgvector Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the implementation of a sharding strategy for handling vector indices in the pgvector database, focusing specifically on large-scale embeddings. It highlights the challenges of scaling vector searches and presents an approach using two indexing…
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Cloud Blog: Build gen AI agents using Google Cloud databases
Source URL: https://cloud.google.com/blog/products/databases/learn-how-to-connect-agents-to-google-cloud-databases/ Source: Cloud Blog Title: Build gen AI agents using Google Cloud databases Feedly Summary: As enterprises build generative AI agents to strengthen their security posture or improve their customer experience, they need access to real-time data. Because most business critical and real-time data is stored and processed in databases, you need ways…