RAG for medical data: improving healthcare AI accuracy

What this post added

This post introduces the concept and implementation of Retrieval-Augmented Generation (RAG) specifically for medical data. It details the technical steps involved in building a medical RAG system, including data ingestion, embedding, indexing in a vector database (mentioning Meilisearch's capabilities for hybrid search), retrieval, and generation. It also discusses the importance of evaluating RAG outputs for accuracy and relevance in the medical domain and introduces agentic RAG for more complex tasks.