Powering Production-Ready Agentic AI with RAG | CoreWeave Blog

What this post added

This post details the integration of vector databases (Milvus, Dragonfly, Pinecone) as a knowledge retrieval layer for agentic AI, enabling production-ready RAG by providing low-latency, scalable context retrieval alongside GPU-accelerated inference. It outlines two deployment patterns: running open-source vector databases (Milvus, Dragonfly) directly on CoreWeave Kubernetes Service (CKS) for maximum control and data locality, and pairing CoreWeave with managed services like Pinecone over high-performance cloud interconnects. The post also describes how this enables specific agent patterns like retrieval-augmented assistants, long-running agent workflows, and multimodal/recommendation-oriented agents.