Experimental News Clipping Site

Tag: indexing

  • Cloud Blog: New column-granularity indexing in BigQuery offers a leap in query performance

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/data-analytics/search-indexes-with-column-granularity-in-bigquery/ Source: Cloud Blog Title: New column-granularity indexing in BigQuery offers a leap in query performance Feedly Summary: BigQuery delivers optimized search/lookup query performance by efficiently pruning irrelevant files. However, in some cases, additional column information is required for search indexes to further optimize query performance. To help, we recently announced indexing with…

  • Simon Willison’s Weblog: Quoting Mark Zuckerberg

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/1/mark-zuckerberg/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Mark Zuckerberg Feedly Summary: You also mentioned the whole Chatbot Arena thing, which I think is interesting and points to the challenge around how you do benchmarking. How do you know what models are good for which things? One of the things we’ve generally tried to…

  • Cloud Blog: AlloyDB AI drives innovation for application developers

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    Kurt Seifried
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    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…

  • Cloud Blog: Google Cloud databases supercharge the AI developer experience

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    Kurt Seifried
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    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…

  • The Cloudflare Blog: Introducing AutoRAG: fully managed Retrieval-Augmented Generation on Cloudflare

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    Kurt Seifried
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    Source URL: https://blog.cloudflare.com/introducing-autorag-on-cloudflare/ Source: The Cloudflare Blog Title: Introducing AutoRAG: fully managed Retrieval-Augmented Generation on Cloudflare Feedly Summary: AutoRAG is here: fully managed Retrieval-Augmented Generation (RAG) pipelines powered by Cloudflare’s global network and powerful developer ecosystem. AI Summary and Description: Yes Summary: The text introduces Cloudflare’s AutoRAG, a fully managed Retrieval-Augmented Generation (RAG) system that…

  • Simon Willison’s Weblog: Claude can now search the web

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/20/claude-can-now-search-the-web/#atom-everything Source: Simon Willison’s Weblog Title: Claude can now search the web Feedly Summary: Claude can now search the web Claude 3.7 Sonnet on the paid plan now has a web search tool that can be turned on as a global setting. This was sorely needed. ChatGPT, Gemini and Grok all had this…

  • Hacker News: Sharding Pgvector

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    Kurt Seifried
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    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…

  • Hacker News: Sharding Pgvector

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    by

    Kurt Seifried
    in

    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…

  • Cloud Blog: Nuro drives autonomous innovation with AlloyDB for PostgreSQL

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/databases/nuro-drives-autonomous-innovation-with-alloydb-for-postgresql/ Source: Cloud Blog Title: Nuro drives autonomous innovation with AlloyDB for PostgreSQL Feedly Summary: Editor’s note: Nuro, a robotics company that develops technology for self-driving vehicles, needed a data platform that could handle complex data processes and support continuous AI model improvement. By migrating to AlloyDB for PostgreSQL, Nuro gained the scalability,…

  • Hacker News: AMD launches Gaia open source project for running LLMs locally on any PC

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    Kurt Seifried
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    Source URL: https://www.tomshardware.com/tech-industry/artificial-intelligence/amd-launches-gaia-open-source-project-for-running-llms-locally-on-any-pc Source: Hacker News Title: AMD launches Gaia open source project for running LLMs locally on any PC Feedly Summary: Comments AI Summary and Description: Yes Summary: AMD’s introduction of Gaia, an open-source application for running local large language models (LLMs) on Windows PCs, marks a significant development in AI technology. Designed to…