Powering Production-Ready Agentic AI with RAG | CoreWeave Blog

This post details the integration of vector databases (Milvus, Dragonfly, Pinecone) as a knowledge retrieval layer for RAG-based agentic AI on CoreWeave. It outlines two deployment strategies: running open-source vector databases directly on CoreWeave Kubernetes Service (CKS) for maximum control and data locality, and pairing CoreWeave with a managed service like Pinecone for a serverless option. The post describes the end-to-end workflow for agents using these databases, including generating embeddings on GPUs, querying vector databases, and feeding retrieved context into LLMs for reasoning and action. It also highlights how this enables specific agent patterns such as retrieval-augmented assistants, long-running agent workflows, and multimodal/recommendation-oriented agents.