Build knowledge agents without embeddings

T1Covered by 1 source · first reported by Vercel (blog + changelog) at 19 Mar, 13:00 UTC

Most knowledge agents start the same way. You pick a vector database, then build a chunking pipeline. You choose an embedding model, then tune retrieval parameters. Weeks later, your agent answers a question incorrectly, and you have no idea which chunk it retrieved or why that chunk scored…