What is Retrieval Augmented Generation (RAG)? | Databricks
Retrieval augmented generation or RAG is an architectural approach that pulls your data as context for large language models (LLMs) to improve relevancy.| Databricks
Authors: Lara Rachidi & Maria Zervou Introduction Welcome to our technical blog on the challenges encountered when building and deploying Retrieval-Augmented Generation (RAG) applications. RAG is a GenAI technique used to incorporate relevant data as context to a large language model (LLM) without t...| community.databricks.com
Retrieval augmented generation or RAG is an architectural approach that pulls your data as context for large language models (LLMs) to improve relevancy.| Databricks
