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Weaviate is an open-source, GraphQL-based, search graph based on a build-in embedding mechanism. It indexes your data based on the context rather than keywords alone. In this article, we will learn within 10 minutes how to use Weaviates to build your own semantic search engine. The easiest way to get started is by running the Docker compose setup. The first thing you need to do is create a Schema and create a search engine for photos. Add data to the GraphQL interface and query the data using the REST API.