Ask a team how their RAG pipeline works and they will tell you about the embedding model, the vector database, and maybe the reranker. Ask them how they chunk their documents and you will usually get "uh, 500 tokens with some overlap? Whatever the default was.
Source: [Dev.to](https://dev.to/fetchply/chunking-the-most-underrated-decision-in-your-rag-pipeline-1eg7)