Understanding Retrieval-Augmented Generation (RAG)
Explore retrieval-augmented generation (RAG) to enhance large language models by dynamically retrieving relevant knowledge from vector databases. Understand the key components, workflow, and benefits of RAG, enabling you to build AI applications with improved factual accuracy and context using LangChainGo and vector databases.
We'll cover the following...
We'll cover the following...
LLMs are limited by the data they are trained on and may not always ...