Building RAG Pipelines That Actually Work in Production
Most RAG tutorials follow the same script: embed some documents into a vector store, wire up a retrieval chain, and watch the magic happen. It works great in notebooks. Then you deploy it.
At Avoca, I built conversational AI agents that handle over 1,000 daily interactions with a 35% booking rate. The RAG component was critical — and nothing like what the tutorials taught me.