Databricks helped practitioners build high-quality Retrieval Augmented Generation (RAG) applications by providing integrated tools for data preparation, real-time data retrieval, and vector search on Delta tables. It supports structured and unstructured data with secure, unified access via Unity Catalog. Databricks automates indexing and feature serving, enabling fast, contextual prompt augmentation for LLMs. The platform offers robust governance, monitoring, and scalable pipelines, simplifying the complex RAG workflow to deliver accurate, up-to-date, and enterprise-grade AI responses.

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