I Built a Deep Research with Open Source—and So Can You!
Feb 6, 2025Stefan Webb
Summary
This post details the construction of a research agent prototype using Milvus as the vector database. It showcases how Milvus is used to store chunks of Wikipedia articles, enabling Retrieval-Augmented Generation (RAG) queries. The implementation involves using Milvus's LangChain integration for efficient data storage and retrieval, demonstrating a practical application of the vector database in an AI agent workflow.
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