We Benchmarked 20+ Embedding APIs with Milvus: 7 Insights That Will Surprise You
May 23, 2025Jeremy Zhu

Summary
This post benchmarks the latency of over 20 embedding APIs when integrated with Milvus's TextEmbedding Function. It details the impact of network geography, model size, token length, and batch size on API performance, and compares cloud API latency with local inference options. The post also validates the minimal overhead introduced by Milvus's TextEmbedding Function and provides optimization tips for RAG embedding performance.
More from the Benchmarking and Performance Analysis trail
- Troubleshooting a Search Slowdown After Upgrading Milvus: Lessons from the WPS Team
- How to Safely Upgrade from Milvus 2.5.x to Milvus 2.6.x
- How to Debug Slow Search Requests in Milvus
- Hands-On with VDBBench: Benchmarking Vector Databases for POCs That Match Production
- https://zilliz.com/blog/vdbbench-1-0-benchmarking-with-your-real-world-production-workloads