advancedCapstone — Building a Real-World AI Agent
When wiring RAG, tool calling, and memory together into one agent, what's the most common cause of a slow or expensive request?
Each of those adds its own model call or vector search — retrieval is a search call, tool calling can trigger multiple back-and-forth model round-trips, and memory means resending growing conversation history every time — so an agent doing all three per request can easily rack up 3-5x the latency/cost of a single plain chat call if none of it is cached or bounded.
This is a Pro chapter
Sign in, then upgrade to Pro or Power to unlock this and the full Spring Ecosystem Mastery library.
When wiring RAG, tool calling, and memory together into one agent, what's the most common cause of a slow or expensive request?