Kestra and Weaviate: How to Work with Vector Databases in Kestra

The blog post discusses the integration of vector databases, specifically Weaviate, with Kestra, a workflow orchestration tool, highlighting the relevance of vector databases in modern AI applications due to their ability to efficiently store and query vector embeddings. It introduces the Kestra Weaviate plugin, which facilitates interaction with the Weaviate vector database, allowing users to create schemas, insert records, and perform queries within Kestra workflows. Vector databases, such as Weaviate, provide scalability and performance necessary for handling AI tasks like image recognition, knowledge base creation, and recommendation systems. The article provides a practical guide on implementing these operations using Kestra, showcasing how to set up and manage data in a Weaviate vector database, and emphasizes the growing importance of understanding vector databases for IT professionals involved in AI and machine learning projects.