Operational Database Management Systems
Zilliz announced the release of Milvus 2.5, the latest version of the open source vector database, introducing native full-text search capabilities that unify vector and keyword search in a single system. This update represents a significant...
Jan 2024 Zilliz Cloud Launch Join our exclusive webinar to explore the latest enhancements in Zilliz Cloud, the most performant managed vector database built atop open-source Milvus. Tailored for developers and technical professionals, this...
Q1. From a database perspective, what are the main challenges that Generative AI (GenAI) poses? The biggest challenge that Gen AI poses is scale. We have so many sources of data – data used...
Q1. Vector embeddings are becoming increasingly popular in natural language processing (NLP), computer vision, and other artificial intelligence (AI) applications. Why? Vector embeddings are the words and phrases that computers use to communicate. Unlike...
Zilliz Webinar -Zoom TO REGISTER About this session There’s an entire set of choices that you can try to improve your retrieval augmented generation (RAG) system such as the embedding model, retrieval strategy and...
About the Session One of the most important things about training LLMs is ensuring that the data and information is reliable. OriginTrail is building a Decentralized Knowledge Graph with semantic search on Milvus to...
About the Session LangChain is an application development framework for LLMs. We’ll discuss integrations, use-cases, and new tools within LangChain to support application development. We will also cover various approaches for context-aware splitting of code and...
Zilliz, a leading vector database provider, has just launched the latest update of their fully-managed, AI-native vector database, Zilliz Cloud. This revolutionary update introduces many new features and offerings. Today, we have James Luan, Partner and Director of...
” Building a vector database at scale is a complex and challenging task. Data volume is one of the most critical factors since the fundamental user requirement is to query at least a billion...