Weaviate

Weaviate is a database designed specifically for AI applications that need to understand the meaning behind data. Unlike regular databases that only match exact words, Weaviate can find information based on what you mean, not just what you type.

It combines traditional database features with vector search technology. This means you can store documents, images, or any type of data, and then search through them using natural language or by similarity. The database handles millions or even billions of items quickly, usually returning results in less than 100 milliseconds.

You can use it for many purposes: building chatbots that answer questions accurately, creating search engines that understand context, making recommendation systems, or organizing large amounts of unstructured data like documents and images.

• Fast vector search across billions of items

• Hybrid search with keyword and semantic capabilities

• Direct integration with major AI providers

• Open source and self-hosted options available

• Built-in data backup and recovery

• Multi-language support and filtering

• Real-time data updates

• Horizontal scaling for large datasets

• RESTful and GraphQL APIs

• Python, JavaScript, Go, and Java client libraries