应用介绍
来自 product_en.json 的应用概述和说明。
Weaviate is an open source, vector-based search engine.
Weaviate is an open source, vector-based search engine designed to handle large-scale, high-dimensional data. It utilizes machine learning and natural language processing techniques to convert data such as text and images into vectors for efficient similarity search.Weaviate supports a wide range of data sources and schemas, including graph databases and time series data. Its modular architecture allows users to customize and extend its functionality for application scenarios such as recommender systems, knowledge graphs, and semantic search, providing high performance and scalability.
Use Cases
适合使用 Weaviate 的典型场景。
Store vectors and provide semantic search for AI and data applications.
Keywords
AWS Marketplace 搜索关键词，最多 15 个，每个不超过 50 字符。