Ebook

GenAI Architectures on Databricks

GenAI Architectures on Databricks

Pages 28 Pages

Databricks helped organizations build and deploy production-quality generative AI applications through comprehensive architecture patterns including prompt engineering, Retrieval-Augmented Generation (RAG), fine-tuning, and pretraining. The platform supports seamless data preparation, experimentation via MLflow, distributed training on scalable GPUs, and instant serverless model serving. Databricks’ Mosaic AI suite enhances AI capabilities with vector search and RAG tools, enabling AI models to generate accurate, context-aware, and business-specific outputs securely and efficiently across industries.

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