SeMI's Weaviate
Real-time vector search engine
SeMI's Weaviate is an open source, cloud-native search engine designed for use cases where traditional keyword-based search is not sufficient, such as natural language processing and machine learning. Weaviate is built to handle complex data types like text, images, audio, and video, and can perform similarity and semantic searches based on the meaning of the data. Weaviate is an AI-powered, vector-based search engine that uses graph-based data modeling and a RESTful API. It can be used for a wide range of applications, including recommendation systems, chatbots, and predictive analytics. Weaviate's API allows developers to easily integrate the search engine into their applications, and its built-in machine learning capabilities enable it to learn from user behavior and improve search results over time. Weaviate is built with privacy in mind and allows users to control the data that is stored and processed by the search engine. It is available under the Apache 2.0 open source license and is free to use and modify.