Weaviate 1.29 Release
📰 Weaviate Blog
Weaviate 1.29 release introduces multi-vector embedding support and other features
Action Steps
- Explore the new features of Weaviate 1.29
- Understand how multi-vector embedding support can improve search functionality
- Review the improvements to keyword and hybrid searches
- Investigate the role-based access control and async replication features
Who Needs to Know This
Data scientists and software engineers on a team can benefit from this release as it improves the functionality of Weaviate, a vector database, and enhances its scalability and security
Key Insight
💡 Weaviate 1.29 introduces significant features that can enhance the performance and security of vector databases
Share This
🚀 Weaviate 1.29 is out! Multi-vector embedding support, improved searches & more!
Key Takeaways
Weaviate 1.29 release introduces multi-vector embedding support and other features
Full Article
Read about multi-vector embedding support, improved keyword/hybrid searches, role-based access control and async replication going GA, new nvidia modules, and more.
DeepCamp AI