Fendy

Recent Submissions

1. 1. ▲ Milvus 3.0: lake-native, S3-based storage,post-search processing (milvus.io) 4 points · 3 months ago · 1 comment
2. 2. ▲ Show HN: Vectordb benchmark – cost (e.g..turbopuffer vs. Zilliz vs. Pinecone (zilliz.com) 2 points · 4 months ago · 0 comments
3. 3. ▲ When AI Agents Do the Work, What Do We Lose? (milvus.io) 2 points · 4 months ago · 0 comments
4. 4. ▲ VDBBench 2.0: now measures cost, not just performance (zilliz.com) 2 points · 4 months ago · 1 comment
5. 5. ▲ A Vector Lakebase is all you need for all AI workloads (zilliz.com) 2 points · 5 months ago · 0 comments
6. 6. ▲ Are Vector Databases Enough for Modern AI Workloads? Y/N (zilliz.com) 3 points · 5 months ago · 1 comment
7. 7. ▲ We spent 8ys making vector databases faster. Then, we stopped (zilliz.com) 2 points · 5 months ago · 0 comments
8. 8. ▲ From Vector Database to Vector Lakebase (zilliz.com) 1 point · 5 months ago · 0 comments
9. 9. ▲ Is MCP Dead? What We Learned on MCP, CLI, and Skills (milvus.io) 4 points · 7 months ago · 3 comments
10. 10. ▲ Embedding Models to Choose in 2026: 10 Models Benchmarked (milvus.io) 1 point · 7 months ago · 1 comment