The article announces the official support of Couchbase as a vector store in Flowise, providing users with a powerful and high-performance solution for managing and retrieving vector data. Flowise is an open-source tool that allows users to create and manage AI workflows with a visual, no-code interface, simplifying the integration of machine learning models and data pipelines. The integration combines Flowise's intuitive capabilities with Couchbase's scalable and flexible vector storage, making it easier to build and deploy AI-driven applications. Users can install Flowise locally or use Docker Compose to start the containers, and then upsert data into Couchbase using Flowise, followed by querying the stored knowledge using a low-code setup. The integration enables seamless querying of stored knowledge with high-performance vector storage and low-code tool capabilities, making it suitable for various AI-driven use cases such as semantic search and RAG applications.