This artificial intelligence makes it possible to improve native AI applications with a vector database open source, appreciated for its flexibility and performance. Weaviate simplifies hybrid search, combining keyword search and vector search, for accurate and contextual results. This especially helps when managing large volumes of multimodal data. The tool is designed to optimize performance and reduce infrastructure costs, adapting the resources used to the specific needs of each use case. Security and respect for confidentiality are also at the heart of concerns, allowing the use of language models while maintaining security data. Weaviate supports a variety of deployment environments, offering a flexible solution suitable for both businesses and developers who want to integrate and scale modern AI applications.
Effectively combines vector search with keyword research techniques to deliver contextual and accurate results across all data, regardless of mode. This method greatly reduces the effort required for developers and improves the user experience on social networks and other platforms.
Enables you to build reliable generative AI applications using your own data, while focusing on confidentiality and safety. Ideal for businesses looking to innovate while maintaining integrity and data security of their users.
Enhance your data set by enriching it with AI-generated responses, optimizing personalization while reducing the time spent on manual data cleaning. This feature is crucial for industries that require constant data updates to remain competitive.