Tag: text retrieval

  • Cloud Blog: More choice, more control: self-deploy proprietary models in your VPC with Vertex AI

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/new-proprietary-models-vertex-model-garden/ Source: Cloud Blog Title: More choice, more control: self-deploy proprietary models in your VPC with Vertex AI Feedly Summary: Building the best AI applications requires both the freedom to choose the most powerful, specialized model for the task at hand, and a platform that can handle them all. This flexibility is core…

  • Tomasz Tunguz: Data & AI Infrastructure Are Fusing

    Source URL: https://www.tomtunguz.com/data–ai-infrastructure-are-fusing/ Source: Tomasz Tunguz Title: Data & AI Infrastructure Are Fusing Feedly Summary: AI breaks the data stack. Most enterprises spent the past decade building sophisticated data stacks. ETL pipelines move data into warehouses. Transformation layers clean data for analytics. BI tools surface insights to users. This architecture worked for traditional analytics. But…

  • Cloud Blog: Build GraphRAG applications using Spanner Graph and LangChain

    Source URL: https://cloud.google.com/blog/products/databases/using-spanner-graph-with-langchain-for-graphrag/ Source: Cloud Blog Title: Build GraphRAG applications using Spanner Graph and LangChain Feedly Summary: Spanner Graph redefines graph data management by integrating graph, relational, search, and AI capabilities with virtually unlimited scalability. GraphRAG has emerged as a frontrunner in building question-answering systems that enable organizations to extract relevant insights from their interconnected…

  • Hacker News: voyage-code-3

    Source URL: https://blog.voyageai.com/2024/12/04/voyage-code-3/ Source: Hacker News Title: voyage-code-3 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents voyage-code-3, a new embedding model optimized for code retrieval that significantly outperforms existing models in both performance and cost-efficiency. The introduction of Matryoshka learning and advanced quantization techniques allows for reduced storage requirements without compromising…

  • Hacker News: Magna: Embedding similarity search tool for searching within large documents

    Source URL: https://github.com/yousef-rafat/Magna Source: Hacker News Title: Magna: Embedding similarity search tool for searching within large documents Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides insights into a tool named Magna, which employs Embedding Similarity Search, a method leveraged in large language models (LLMs). This functionality allows for semantically understanding and…