OpenSearch 3.0 Unveiled: Vector DB on Steroids and More
OpenSearch has become a cornerstone of open source search and observability, empowering developers and organizations to derive meaningful insights from unstructured data at scale.
Now, after two years of 2.x, the next major release is here, and it brings significant advancements in performance, data management, vector database functionality, and much more. In the recent OpenObservability Talks episode I dived into the 3.0 release, across lexical, semantic, and hybrid search, vector database improvements, LLM integrations, observability capabilities, performance boosts, and much more. I also looked at the community and ecosystem, the recent move of the project under The Linux Foundation, and some of the interesting use cases out there.
My guests for this episode were Carl Meadows, Chair of the Governing Board of the OpenSearch Software Foundation, and Pallavi Priyadarshini, member of the Technical Steering Committee and the OpenSearch 3.0 release manager.
Looking to try out the new release? If you’re running OpenSearch on Kubernetes, you’d be glad to know that the OpenSearch Kubernetes Operator v2.8.0 is out and supports OpenSearch 3.x.
Want to learn more? Check out the OpenObservability Talks episode: OpenSearch 3.0 Unveiled: Vector DB on Steroids and More.
