Tag: similarity search

  • Tomasz Tunguz: The Future of AI Data Architecture: How Enterprises Are Building the Next Generation Stack

    Source URL: https://www.tomtunguz.com/future-ai-data-architecture-enterprise-stack/ Source: Tomasz Tunguz Title: The Future of AI Data Architecture: How Enterprises Are Building the Next Generation Stack Feedly Summary: The AI stack is still developing. Different companies experiment with various approaches, tools, and architectures as they figure out what works at scale. The complication is that patterns are beginning to coalesce…

  • Simon Willison’s Weblog: Introducing EmbeddingGemma

    Source URL: https://simonwillison.net/2025/Sep/4/embedding-gemma/#atom-everything Source: Simon Willison’s Weblog Title: Introducing EmbeddingGemma Feedly Summary: Introducing EmbeddingGemma Brand new open weights (under the slightly janky Gemma license) 308M parameter embedding model from Google: Based on the Gemma 3 architecture, EmbeddingGemma is trained on 100+ languages and is small enough to run on less than 200MB of RAM with…

  • AWS News Blog: Celebrating 10 years of Amazon Aurora innovation

    Source URL: https://aws.amazon.com/blogs/aws/celebrating-10-years-of-amazon-aurora-innovation/ Source: AWS News Blog Title: Celebrating 10 years of Amazon Aurora innovation Feedly Summary: Amazon Aurora is celebrating its 10th anniversary with a livestream event on August 21, 2025, highlighting a decade of database innovation since its groundbreaking architecture that decoupled storage from compute. AI Summary and Description: Yes **Summary:** This text…

  • Shabie’s blog: Let the kaleidoscope turn

    Source URL: https://shabie.github.io/2025/07/31/let-the-kaleidoscope-turn.html Source: Shabie’s blog Title: Let the kaleidoscope turn Feedly Summary: “Any good classifier knows that in the process of classification, information about variety is lost while information about similarities is gained.” – Joseph Tainter AI Summary and Description: Yes Summary: The text discusses the limitations of traditional retrieval-augmented generation (RAG) systems in…

  • AWS News Blog: TwelveLabs video understanding models are now available in Amazon Bedrock

    Source URL: https://aws.amazon.com/blogs/aws/twelvelabs-video-understanding-models-are-now-available-in-amazon-bedrock/ Source: AWS News Blog Title: TwelveLabs video understanding models are now available in Amazon Bedrock Feedly Summary: TwelveLabs video understanding models are now available on Amazon Bedrock and enable customers to search through videos, classify scenes, summarize content, and extract insights with precision and reliability. AI Summary and Description: Yes Summary: TwelveLabs…

  • AWS News Blog: Introducing Amazon S3 Vectors: First cloud storage with native vector support at scale (preview)

    Source URL: https://aws.amazon.com/blogs/aws/introducing-amazon-s3-vectors-first-cloud-storage-with-native-vector-support-at-scale/ Source: AWS News Blog Title: Introducing Amazon S3 Vectors: First cloud storage with native vector support at scale (preview) Feedly Summary: Amazon S3 Vectors is a new cloud object store that provides native support for storing and querying vectors at massive scale, offering up to 90% cost reduction compared to conventional approaches…

  • Cloud Blog: Is your database holding you back? Boosting database efficiency and ROI with Cloud SQL

    Source URL: https://cloud.google.com/blog/products/databases/how-cloud-sql-boosts-performance-and-cuts-costs-per-idc/ Source: Cloud Blog Title: Is your database holding you back? Boosting database efficiency and ROI with Cloud SQL Feedly Summary: Editor’s Note: Today, we’re sharing insights from IDC Research Director, Devin Pratt, as he offers his analysis of recent research on Cloud SQL. In this post, you’ll see how Cloud SQL’s highly…

  • Hamel’s Blog: LLM Eval FAQ

    Source URL: https://hamel.dev/blog/posts/evals-faq/ Source: Hamel’s Blog Title: LLM Eval FAQ Feedly Summary: Our Course On AI Evals I’m teaching a course on AI Evals with Shreya Shankar. Here are some of the most common questions we’ve been asked. We’ll be updating this list frequently. Q: Is RAG dead? Question: Should I avoid using RAG for…