How to Build a RAG Pipeline with UltraRAG v2 and Milvus
Mar 11, 2026Min Yin

Summary
This post details the integration of Milvus with the UltraRAG v2 framework. It demonstrates how to set up a Milvus standalone instance and integrate it into the UltraRAG pipeline as a retrieval module. The post provides code snippets for modifying the retriever.py file to include Milvus support, specifically the `retriever_init_Milvus` and `retriever_search_Milvus` tools. It also outlines the steps for dataset setup and running the complete RAG pipeline using Milvus for retrieval.
More from the AI Data Storage Engine trail
- Milvus Snapshots: Point-in-Time Collection Views Without Copying Data
- Announcing Milvus 3.0: Lake-Native Vector Search and a More Powerful Retrieval Engine
- How to Recover Milvus Data After etcd Corruption Without a Backup
- Open Tag: An Open-Source Claude Tag for Claude Code and Codex
- How Force Merge Compaction Nearly Doubled Milvus Search QPS