Tag: embedding model

  • Simon Willison’s Weblog: Nomic Embed Code: A State-of-the-Art Code Retriever

    Source URL: https://simonwillison.net/2025/Mar/27/nomic-embed-code/ Source: Simon Willison’s Weblog Title: Nomic Embed Code: A State-of-the-Art Code Retriever Feedly Summary: Nomic Embed Code: A State-of-the-Art Code Retriever Nomic have released a new embedding model that specializes in code, based on their CoRNStack “large-scale high-quality training dataset specifically curated for code retrieval". The nomic-embed-code model is pretty large –…

  • 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…

  • 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…

  • 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…

  • 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: Breaking Up with On-Call

    Source URL: https://reflector.dev/articles/breaking-up-with-on-call/ Source: Hacker News Title: Breaking Up with On-Call Feedly Summary: Comments AI Summary and Description: Yes Summary: The text critiques the on-call culture in large tech companies, emphasizing how the misalignment of incentives leads to unreliable software and diminished software quality. It explores how AI and machine learning can enhance the on-call…

  • Simon Willison’s Weblog: State-of-the-art text embedding via the Gemini API

    Source URL: https://simonwillison.net/2025/Mar/7/gemini-embeddings/#atom-everything Source: Simon Willison’s Weblog Title: State-of-the-art text embedding via the Gemini API Feedly Summary: State-of-the-art text embedding via the Gemini API Gemini just released their new text embedding model, with the snappy name gemini-embedding-exp-03-07. It supports 8,000 input tokens – up from 3,000 – and outputs vectors that are a lot larger…

  • Hacker News: SOTA Code Retrieval with Efficient Code Embedding Models

    Source URL: https://www.qodo.ai/blog/qodo-embed-1-code-embedding-code-retreival/ Source: Hacker News Title: SOTA Code Retrieval with Efficient Code Embedding Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Qodo-Embed-1, a new family of code embedding models that outperforms larger models in code retrieval tasks while maintaining a smaller footprint. It emphasizes the challenges existing models face…