Build Retrieval-Augmented Generation (RAG) With Milvus

It's no secret that traditional , a model introduced by Meta AI researchers, comes in.

RAG addresses an LLM's limitation of over-relying on pre-trained data for output generation by combining parametric memory with non-parametric memory through vector-based information retrieval techniques. Depending on the scale, this vector-based information retrieval technique often works with vector databases to enable fast, personalized, and accurate similarity searches. In this guide, you'll learn how to build a retrieval-augmented generation (RAG) with Milvus.