Building High Quality RAG Applications with Databricks

Retrieval-Augmented-Generation (RAG) has quickly emerged as the canonical way to incorporate proprietary, real-time data into Large Language Model (LLM) applications. Today we are excited to announce a suite of RAG tools to help Databricks users build high-quality, production LLM apps using their enterprise data.

Build GenAI Apps Faster with New Foundation Model Capabilities

Retrieval-Augmented Generation (RAG) Tutorial, Examples & Best Practices

Suneel Sunkara on LinkedIn: The Simplification of AI Data

Eric Lehr on LinkedIn: Delta Lake 3.0.0

Mosaic AI Databricks

Building Performant RAG Applications for Production - LlamaIndex

Databricksによる高品質RAGアプリケーションの作成 #Databricks - Qiita

Carlos Lobera on LinkedIn: Creating High Quality RAG Applications with Databricks

Tim Armstrong - Databricks

Community How to build RAG Applications that Reduce Hallucinations

Mathew Rainbow on LinkedIn: Built-In Governance for Your Databricks Workspace

Scott Eade on LinkedIn: Simplified Analytics Engineering with Databricks and dbt Labs