Databricks正在加入那些悄然承认传统确定性方法在许多应用中表现远胜于生成式AI概率性方法的AI软件供应商行列。其全新的"Instructed Retriever"架构将传统数据库查询与RAG（检索增强生成）的相似性搜索相结合，为用户提示提供更相关的响应。 检索增强生成架构的 ...

Most enterprise RAG pipelines are optimized for one search behavior. They fail silently on the others. A model trained to synthesize cross-document reports handles constraint-driven entity search ...

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with unstructured content, sales figures alongside customer reviews or citation ...

Databricks is getting ready to offer more support to enterprises building generative AI applications, with the addition of new Mosaic AI capabilities, it said Wednesday. First up, Mosaic AI Agent ...

Databricks says Instructed Retriever outperforms RAG and could move AI pilots to production faster, but analysts warn it could expose data, governance, and budget gaps that CIOs can’t ignore.

A year ago, Databricks acquired MosaicML for $1.3 billion. Now rebranded as Mosaic AI, the platform has become integral to Databricks’ AI solutions. Today, at the company’s Data + AI Summit, it is ...

As the AI infrastructure market evolves, we’ve been hearing a lot more about AI inference—the last step in the AI technology infrastructure chain to deliver fine-tuned answers to the prompts given to ...

Recently, a new sentiment has emerged in AI security circles: "RAG is dead." I've observed firsthand how organizations are increasingly abandoning Retrieval-Augmented Generation (RAG) architectures in ...

As Databricks' annual conference in North America, Data + AI Summit, continues, so do the announcements from the company about new capabilities on its platform. Yesterday was focused on conventional ...