RAG is a pragmatic and effective approach to using large language models in the enterprise. Learn how it works, why we need it, and how to implement it with OpenAI and LangChain. Typically, the use of ...

See how to query documents using natural language, LLMs, and R—including dplyr-like filtering on metadata. Plus, learn how to use an LLM to extract structured data for text filtering. One of the ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Today Databricks announced new retrieval augmented generation (RAG) ...

Search, as we know it, has been irrevocably changed by generative AI. The rapid improvements in Google’s Search Generative Experience (SGE) and Sundar Pichai’s recent proclamations about its future ...

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 ...