Metadata Filtering, Hybrid Search or Agent When Building Your RAG Application

Retrieval Augmented Generation (RAG) is a technique that enhances Language Learning Models (LLMs) by integrating additional data sources. Milvus, a vector database, can boost the performance of RAG applications with its Metadata Filtering, Hybrid Search, and Agent capabilities. Metadata Filtering allows for precise and efficient searches by enriching data with additional attributes. Hybrid Search expands search capabilities by allowing queries across multiple vector columns. Agents automate actions based on LLM's output, enabling continuous updates to the RAG system.