Why and When Do You Need a Purpose-Built Vector Database?
Aug 29, 2023James Luan

Summary
This post compares Milvus as a specialized vector database against vector search libraries (like FAISS) and vector search plugins within traditional databases. It highlights the limitations of libraries (scalability, real-time import) and plugins (lack of full-stack approach, limited tunability) and positions Milvus as a more robust, scalable, and feature-rich solution for large-scale vector search applications. It emphasizes Milvus's user-friendly APIs, broader index support, and cloud-native features.
More from the Purpose-Built Vector Database Comparison trail
- Beyond Naive RAG: Build Smarter Systems with Query Routing and Hybrid Retrieval
- Productionizing Semantic Search: How We Built and Scaled Vector Infrastructure at Airtable
- Choosing a vector database for ANN search at Reddit
- Why AI Databases Don't Need SQL
- What Exactly is a Vector Database and How Does It Work