Tag: vector database

  • 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…

  • Simon Willison’s Weblog: Cursor: Security

    Source URL: https://simonwillison.net/2025/May/11/cursor-security/#atom-everything Source: Simon Willison’s Weblog Title: Cursor: Security Feedly Summary: Cursor: Security Cursor’s security documentation page includes a surprising amount of detail about how the Cursor text editor’s backend systems work. I’ve recently learned that checking an organization’s list of documented subprocessors is a great way to get a feel for how everything…

  • Cloud Blog: Google Cloud Database and LangChain integrations now support Go, Java, and JavaScript

    Source URL: https://cloud.google.com/blog/products/databases/google-cloud-database-and-langchain-integrations-support-go-java-and-javascript/ Source: Cloud Blog Title: Google Cloud Database and LangChain integrations now support Go, Java, and JavaScript Feedly Summary: Last year, Google Cloud and LangChain announced integrations that give generative AI developers access to a suite of LangChain Python packages. This allowed application developers to leverage Google Cloud’s database portfolio in their gen…

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

    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…

  • Slashdot: MCP: the New ‘USB-C For AI’ That’s Bringing Fierce Rivals Together

    Source URL: https://slashdot.org/story/25/04/01/208221/mcp-the-new-usb-c-for-ai-thats-bringing-fierce-rivals-together?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: MCP: the New ‘USB-C For AI’ That’s Bringing Fierce Rivals Together Feedly Summary: AI Summary and Description: Yes Summary: The introduction of the Model Context Protocol (MCP), developed by Anthropic, signifies a significant advancement in the AI assistant sector by allowing different AI models to seamlessly connect to external…

  • AWS News Blog: AWS Weekly Roundup: Amazon Bedrock, Amazon QuickSight, AWS Amplify, and more (March 31, 2025)

    Source URL: https://aws.amazon.com/blogs/aws/aws-weekly-roundup-amazon-bedrock-amazon-quicksight-aws-amplify-and-more-march-31-2025/ Source: AWS News Blog Title: AWS Weekly Roundup: Amazon Bedrock, Amazon QuickSight, AWS Amplify, and more (March 31, 2025) Feedly Summary: It’s AWS Summit season! Free events are now rolling out worldwide, bringing our cloud computing community together to connect, collaborate, and learn. Whether you prefer joining us online or in-person, these…

  • 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…

  • 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…