Easy Introduction to Real-Time RAG

using Apache Pinot vector index

RAG stands for Retrieval-Augmented Generation. It’s a technique that enhances the responses returned by a large language model (LLM) to be more accurate. LLMs alone can answer many questions provided to them. But to respond with accurate answers and cite sources, the LLM needs help to do some research. In this post, I’ll show how to do this in real-time.