New Retrieval Augmented Generation Guide

Retrieval Augmented Generation Guide

Today we posted a new guide explaining Retrieval Augmented Generation (RAG) over on Vectorize. Key points and take aways are:
  1. RAG helps reduce LLM hallucinations.
  2. RAG allows your LLM to generate content about topics it wasn't trained on.
  3. RAG works around training date cutoff problems by providing more up to date information.
For any developers building gen AI features into their applications, this is a must know technique. 

Visit Vectorize to learn more about how to build real time data pipelines optimized for RAG.


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