Knowledge graph vs. vector database for RAG: which is best?

What this post added

This post provides a technical comparison between knowledge graphs and vector databases for RAG systems. It details how each approach models and retrieves information, their advantages (e.g., relational reasoning for knowledge graphs, scalability for vector databases), and limitations (e.g., development complexity for knowledge graphs, lack of transparency for vector databases). It also discusses hybrid approaches, highlighting Meilisearch's unified `/chat` endpoint and its hybrid search capabilities as a way to combine the benefits of both.