@ -88,3 +88,13 @@ The embedding data to be inserted.
**Returns:** *mr*
Return milvus results with `milvus.insert`.
# More Resources
- [Introducing Milvus 2.3.4 - Zilliz blog](https://zilliz.com/blog/what-is-new-in-milvus-2-3-4): Introducing Milvus 2.3.4 with the support for Access Logs, Parquet File imports, expanded collections/partitions, and more!
- [Milvus vs Pgvector | Zilliz](https://zilliz.com/comparison/milvus-vs-pgvector): Compare Milvus vs. Pgvector by the following set of capabilities. We want you to choose the best database for you, even if itâs not us.
- [Optimizing Data Communication: Milvus Embraces NATS Messaging - Zilliz blog](https://zilliz.com/blog/optimizing-data-communication-milvus-embraces-nats-messaging): Introducing the integration of NATS and Milvus, exploring its features, setup and migration process, and performance testing results.
- [Milvus | Open-source Vector Databse created by Zilliz](https://zilliz.com/what-is-milvus): Milvus, built by the Zilliz team, is a high-performance open-source vector database designed to handle billions of vectors for AI applications.
- [An Engineering Perspective: Why Milvus is Compelling for Your Apps? - Zilliz blog](https://zilliz.com/blog/engineering-perspective-why-milvus-compelling-option-for-apps): Explore Milvus 2.3 from three crucial angles: database selection, development experience, and system reliability.
- [Spring AI and Milvus: Using Milvus as a Spring AI Vector Store - Zilliz blog](https://zilliz.com/blog/spring-ai-and-milvus-using-milvus-as-spring-ai-vector-store): A comprehensive guide on how to use Milvus as a Spring AI vector store
