Milvus 3.0 Beta 来了，能直接在数据湖上查向量和元数据，零拷贝；还有快照和回滚。做 RAG 或向量检索的别错过。
Milvus 开源向量数据库突破 45,000 个 GitHub Stars。Milvus 3.0 Beta 已发布，即将正式 GA。新功能包括 External Collection（直接在 S3、Iceberg 等湖上零拷贝查询）、Snapshot（一致性点时间视图支持版本回滚）、Loon/Storage V3（湖原生存储引擎）以及更丰富的查询模式（聚合、分组、分面）。GA 版本会带来更多特性。
𝗠𝗶𝗹𝘃𝘂𝘀 𝗷𝘂𝘀𝘁 𝗰𝗿𝗼𝘀𝘀𝗲𝗱 𝟰𝟱,𝟬𝟬𝟬 𝗚𝗶𝘁𝗛𝘂𝗯 𝘀𝘁𝗮𝗿𝘀 ⭐️ A huge thank you ❤️ to ...
𝗠𝗶𝗹𝘃𝘂𝘀 𝗷𝘂𝘀𝘁 𝗰𝗿𝗼𝘀𝘀𝗲𝗱 𝟰𝟱,𝟬𝟬𝟬 𝗚𝗶𝘁𝗛𝘂𝗯 𝘀𝘁𝗮𝗿𝘀 ⭐️ A huge thank you ❤️ to everyone who has used Milvus, starred the repo, opened issues, contributed code, shared feedback, or built production AI systems on top of it. This milestone is yours as much as ours. The timing's no accident — 𝗠𝗶𝗹𝘃𝘂𝘀 𝟯.𝟬 𝗶𝘀 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝗶𝗻 𝗯𝗲𝘁𝗮, 𝘄𝗶𝘁𝗵 𝗚𝗔 𝗿𝗶𝗴𝗵𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝘁𝗵𝗲 𝗰𝗼𝗿𝗻𝗲𝗿. A few of the capabilities we're most excited about: 🔹 𝗘𝘅𝘁𝗲𝗿𝗻𝗮𝗹 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻 — query embeddings and metadata right where they live in the lake (S3, Iceberg, Lance, Parquet, Vortex), zero-copy, no data movement 🔹 𝗦𝗻𝗮𝗽𝘀𝗵𝗼𝘁 — a consistent, point-in-time view of your data for stable reads, versioning, and rollback 🔹 𝗟𝗼𝗼𝗻 / 𝗦𝘁𝗼𝗿𝗮𝗴𝗲 𝗩𝟯 — a next-gen, lake-native storage engine where one copy of your vector data serves both large-scale vector and lakebase workloads 🔹 𝗥𝗶𝗰𝗵𝗲𝗿 𝗾𝘂𝗲𝗿𝘆 𝗽𝗮𝘁𝘁𝗲𝗿𝗻𝘀 — in-kernel aggregation (count / sum / avg, group-by) and faceting, plus stronger support for structured data …and more landing as we head to GA. Stay tuned. Want to get a clos youtube.com/watch?v=SAm4Yf… s webinar recording we recently hosted walking through Milvus 3.0 core features and roadmap with core maintainers here 👇 https://t.co/adRX0vCu5D 💬 0 🔄 0 ❤️ 0 ⚡