Milvus 3.0, released July 31, introduces a lake-native architecture that allows vector search directly over data in object storage without copying, reducing I/O per point read from 9.4 MB to 0.07 MB (…
Most RAG pipelines fail because they use symmetric embedding models for asymmetric query-document pairs, according to Zilliz and developer Mario Ottmann. The fix is to use asymmetric embeddings or API…
Zilliz's Milvus blog argues that LLM hallucinations can be a source of creativity when guided by context engineering, which unifies prompting, knowledge grounding, and tool integration. The post cites…
Zilliz released Milvus 3.0, introducing a lake-native path for indexing vector data in object storage and open table formats such as Parquet, Lance, Iceberg, and Vortex, enabling teams to search lake-…
Zilliz has launched Milvus 3.0, an update to its open-source vector database that adds lake-native data access and a more expressive retrieval engine for production AI applications. The update enables…
Zilliz announced a new storage engine called Loon that supports real-time search, large-scale discovery, and batch analytics from a single copy of vector data on low-cost object storage, enabling onli…
Zilliz has published a FAQ clarifying the differences between its Milvus vector database and the new Vector Lakebase, emphasizing that real-time vector search remains core while data now lives in open…
Zilliz, the Milvus AI vector database supplier, launched Vector Lakebase, a product that extends real-time vector search with an external data lake connector, batch analytics, and interactive discover…
Zilliz launched the public preview of Vector Lakebase, a semantic-centric data platform that unifies open storage and elastic compute for AI workloads. The platform supports three workload modes—real-…
Zilliz launched Vector Lakebase, an evolution of its cloud platform from a pure vector database into a lake-native data foundation for AI workloads. The company confirmed it is not moving away from ve…
TiDB SCaiLE Europe 2026 will take place Thursday, 4 June 2026, at Epicenter Stockholm, featuring a single-track agenda focused on solving data-layer bottlenecks for agentic AI workloads. Engineers fro…