How to run an embedded vector database in 10 lines of code

The text discusses using Weaviate, an open source vector search engine, embedded in Python or TypeScript code for testing scenarios. It provides instructions on how to install the client libraries and run the code. Embedded Weaviation allows users to quickly get started with Weaviate without having to manage a separate server instance. The text also mentions use cases such as Jupyter notebooks, integration tests in CI/CD pipelines, and testing near-text search capabilities.